JP3494815B2 - Video imaging device - Google Patents

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a video image pickup device used for a surveillance device or the like, and more particularly to a video image pickup device for automatically adjusting contrast and brightness according to an intensity distribution in an image pickup range. In particular, in a surveillance system that monitors the inside and outside of large-scale facilities such as office buildings and factories, it is necessary to monitor a vast area with limited personnel, so man-made operations are eliminated as much as possible, and The manpower required for maintenance is being reduced. As a technique for saving labor in such a monitoring system, an automatic contrast adjustment technique and an automatic brightness adjustment technique that are suitable for a target object captured in the image capturing range of the image capturing apparatus are required.

[0002]

2. Description of the Related Art FIG. 11 shows an example of the configuration of a conventional image pickup device. In FIG. 11, the image by the optical system 401 is C
After being converted into an electric signal corresponding to the intensity of light in each pixel by a photodetector 402 such as a CD, and further converted into a video signal of, for example, NTSC format by a signal conversion unit 403, a CRT is displayed via a display control unit 404. It is input to the display 405 and displayed as a two-dimensional image.

The display control section 404 shown in FIG. 11 is provided with a contrast adjusting circuit 406 and a brightness adjusting circuit 407. By operating a video signal, C
The configuration is such that the contrast and brightness of the image displayed on the RT display 405 are adjusted. In the conventional image pickup device, the operator operates the CRT display 4
By operating a knob or the like provided in the display control unit 404 while looking at the image displayed on 05, instructions are input to the contrast adjustment circuit 406 and the brightness adjustment circuit 407, and the operator's work load is large. Also, the adjustment result is largely influenced by the skill and experience of the operator.

As a conventional technique for automating the contrast adjusting work and the brightness adjusting work, Japanese Patent Application No. 7-003708, "Image pickup device", has already been filed. This technique, as shown in FIG.
The electric signal obtained in step (4) is digitized by an analog / digital (A / D) converter 411, and is input to the image optimization processing unit 412 for each frame as a pixel value indicating the intensity at each pixel position for contrast adjustment and The brightness is adjusted.

In the image optimization processing unit 412, the average value calculation unit 413 calculates the average value of each pixel value included in one frame, and the difference calculation unit 414 calculates the difference between this average value and each pixel value. It is configured to be calculated and provided to the processing of the adjustment coefficient calculation unit 415. In response to the input of the difference corresponding to each pixel for one frame, the adjustment coefficient calculating unit 415, for example, based on the maximum value of the difference value and the number of effective bits corresponding to the grayscale that can be represented by the CRT display 405. The contrast adjustment coefficient is calculated, and the contrast adjustment unit 416
Is configured to adjust the contrast by multiplying the pixel value of each pixel by this contrast adjustment coefficient.

Further, the brightness adjustment value calculation unit 417 calculates a brightness adjustment value to be applied to the pixel value of each pixel, based on the average value obtained by the average value calculation unit 413 and the above-mentioned effective bit number, The brightness value adjustment unit 418 adds the brightness adjustment value to the pixel value of each pixel obtained as a processing result by the contrast adjustment unit 416.

As described above, each part of the image optimization processing unit 412 operates according to the input of the image data for one frame, so that the image is distributed according to the intensity distribution of the image captured in the corresponding frame. It is possible to manipulate the data and automatically adjust the contrast and brightness. The image data for one frame obtained in this manner is converted into a video signal by the signal conversion unit 419, and CR
When the image is sent to the T display 405, an image having a contrast and a brightness suitable for an image captured in the image capturing range can be constantly displayed without any manual operation, and can be used for monitoring work by the operator.

[0008]

By the way, as described above, when the optimization processing is performed on the image data of each frame, the processing load on the image optimization processing unit 412 becomes very large. Therefore, Japanese Patent Application No. 7-00
When the technique of No. 3708 is applied, as shown in FIG. 13, a cutout processing unit 421 cuts out a part of each frame, and the average value calculation unit 4 of the image optimization processing unit 412.
13, the difference calculation unit 414, the adjustment coefficient calculation unit 415, and the brightness adjustment value calculation unit 417 were used to perform contrast adjustment and brightness adjustment based on the obtained contrast adjustment coefficient and brightness adjustment value.

Here, the number of pixels cut out from each frame is determined according to the processing capability of the image optimization processing unit 412, and is sufficient for the image optimization processing unit 412 for downsizing and cost reduction. If a high processing capacity cannot be provided, the range of the image used for the optimization processing (hereinafter referred to as the processing range) becomes narrow, and there is a possibility that a sufficient function cannot be exhibited.

For example, when the surveillance system is provided with a function of tracking a target based on the image captured by the image pickup device, a tracking gate is usually provided at the center of the screen, and therefore the processing range is also displayed on the screen. It is set in the center.

In this case, the main target is located at the center of the screen, and the contrast and brightness are adjusted according to the intensity distribution of the target image, so that sufficient optimization is performed for this main target. Can be said to be However,
Since only the target within the processing range is emphasized in the above-mentioned optimization method, if another target with an intensity distribution that is significantly different from the main target appears outside the above-mentioned processing range, this target is handled. There is a possibility that it will be difficult to see the video, and it may lead to a delay in discovering a new target, or in the worst case, it may be overlooked.

It is an object of the present invention to provide a video image pickup device capable of adjusting the contrast and the brightness of an image according to the intensity distribution in the entire image pickup range without increasing the processing capability required for the contrast and the brightness adjustment. .

[0013]

FIG. 1 is a block diagram showing the principle of the present invention.

According to the first aspect of the invention, in response to the input of the image data of each frame captured by the light receiving element 101,
In the video image pickup apparatus in which the image adjusting unit 102 adjusts the contrast and the brightness of the image represented by the image data and the display unit 103 performs the display process, the image adjusting unit 102 adjusts the frame from each frame according to a predetermined vertical sampling interval. Sampling means 111 for extracting sample lines each consisting of one line of pixels continuous in the horizontal direction, and adjustment value calculation means 112 for obtaining a contrast adjustment value and a brightness adjustment value based on pixel values corresponding to the sample pixels, It is characterized in that it is provided with an adjusting means 113 for adjusting the pixel value by applying the obtained contrast adjustment value and brightness adjustment value to all the pixels of each frame.

The invention of claim 1 is the sampling means 11
By using the pixel value of the sample pixel extracted from the entire frame by 1 for the calculation processing of the contrast adjustment value and the brightness adjustment value by the adjustment value calculation unit 112, the processing load required for the adjustment value calculation processing is suppressed and the entire frame is processed. The contrast adjustment value and the brightness adjustment value that reflect the intensity distribution can be obtained and used for the processing of the adjusting unit 113.

In particular , by subjecting each sample pixel forming the sample line extracted by the sampling means 111 to the processing of the adjustment value calculating means 112, the pixel value of the pixel forming the target image elongated in the horizontal direction becomes the sample pixel. The proportion of the whole can be increased.
That is, the information regarding the intensity distribution of the target image can be efficiently extracted in consideration of the target shape, and it becomes possible to obtain appropriate contrast adjustment values and brightness adjustment values.

Further, in the video image pickup device according to the first aspect, the sampling means 111 extracts a sample column consisting of pixels for one column continuous in the vertical direction from each frame at a predetermined horizontal sampling interval, It may be configured to be provided for the processing of the adjustment value calculation means 112. In the video image pickup apparatus configured as described above, each sample pixel forming the sample column extracted by the sampling unit 111 is subjected to the processing of the adjustment value calculation unit 112 to form a vertically elongated target image. It is possible to increase the ratio of the pixel value of the pixel to the whole sample pixel. That is, the information regarding the intensity distribution of the target image can be efficiently extracted in consideration of the target shape, and it becomes possible to obtain appropriate contrast adjustment values and brightness adjustment values.

According to a second aspect of the present invention, the light receiving element 101 is used.
Depending on the input of the image data of each frame captured by
Video represented by image data by the image adjusting unit 102
On the display means 103 by adjusting the contrast and brightness of
In the video image pickup apparatus provided for the display processing according to the above, the image adjustment unit 102 includes a size input unit 114 for inputting a target size to be captured by the video image pickup apparatus, and an input target size .
Sampling density that fits your goal based on size
First density calculation means 115 to be obtained and first density calculation means 1
The sampling density obtained in 15
A sampling means 111 for extracting sample pixels;
Based on the pixel value corresponding to the pull pixel, the contrast adjustment
Adjustment value calculation means 112 for obtaining an adjustment value and a brightness adjustment value
And the obtained contrast adjustment value and brightness adjustment value
Adjustment that applies to all pixels in the frame and adjusts pixel values
And means 113 .

The invention of claim 2 is the size input means 114.
The first density calculation means 115 operates based on the target size input via the, and the obtained sampling density is subjected to the processing of the sampling means 111, so that one frame has a sampling density suitable for the target size. It is possible to extract sample pixels from the image data of 1, and use them for the calculation processing of the contrast adjustment value and the brightness adjustment value.

According to a third aspect of the invention, the light receiving element 101 is used.
Depending on the input of the image data of each frame captured by
Video represented by image data by the image adjusting unit 102
On the display means 103 by adjusting the contrast and brightness of
In the video imaging apparatus used for the display processing according to the above, the image adjusting unit 102 inputs the importance information indicating the importance at the time of adjusting the pixel value for each of the predetermined attention area and the outside of the attention area on the display screen. Degree input means 116
And importance information and the position and size of the attention area
It's about the area of interest and its outside, based on the information
Second density calculating means 117 for obtaining the respective sampling densities
And the sampling density obtained by the second density calculation means 117.
Sampler to extract sample pixels from each frame in degrees
Based on the pixel value corresponding to the sampling means 111 and the sample pixel.
The contrast adjustment value and brightness adjustment value
Adjustment value calculation means 112 and the obtained contrast adjustment value
And the brightness adjustment value are applied to all pixels in each frame,
An adjusting means 113 for adjusting the pixel value is provided.

The third aspect of the invention is the importance input means 116.
In response to the input of importance information from the second density calculation means 1
17 calculates the sampling densities of the attention area and the outside thereof, and supplies the sampling densities to the processing of the sampling means 111 to extract the sample pixels from the attention area and the area outside thereof at the sampling densities according to the respective degrees of importance. You can

[0022]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described in detail below with reference to the drawings. FIG. 2 illustrates the present invention.
It is a figure which shows 1st Embodiment of a video imaging device which changes .
2, the video imaging apparatus includes a sampling processing unit 211 corresponding to the sampling unit 111 in place of the cutout processing unit 421 illustrated in FIG. 13, and a pixel value corresponding to a sample pixel extracted by the sampling processing unit 211. The average value calculation unit 413 and the difference calculation unit 414 of the image optimization processing unit 412 operate in response to the input of.

Therefore, in this case, based on the pixel value of each pixel extracted as the sample pixel, the adjustment including the average value calculation unit 413, the difference calculation unit 414, the adjustment coefficient calculation unit 415, and the brightness adjustment value calculation unit 417. Value calculation means 1
The contrast adjustment coefficient and the brightness adjustment value are calculated by 12, and are supplied to the processing of the contrast adjustment unit 416 and the brightness value adjustment unit 418 corresponding to the adjusting unit 113.

Further, in FIG. 2, the output of the photodetector 402 corresponding to the light receiving element 101 is supplied to the processing of the contrast adjusting section 416 via the analog / digital converter 411, and this contrast adjusting section is also provided. The processing result of 416 is sent to the CRT display 405 corresponding to the display unit 103 via the brightness value adjusting unit 418 and the signal converting unit 419.

Here, the sampling processing unit 211 determines the sampling density in advance based on, for example, the number of pixels corresponding to the processing range and the number of pixels in one frame, and the sampling density is used to determine the entire image data of one frame. Sample pixels may be extracted from This makes it possible to obtain the adjustment coefficient and the brightness adjustment value that reflect the information of the entire imaging range of the video imaging apparatus, and the image corresponding to the entire imaging range can be obtained without increasing the processing capability required for the contrast and brightness adjustment. Information can be efficiently extracted from the intensity distribution.

In this case, regardless of the position occupied by the target to be monitored in the imaging range, all the target images can be displayed with appropriate contrast and brightness, so that a new image appears in the periphery of the imaging range. It is possible to support quick and reliable discovery of the set target, and it is possible to significantly reduce the work load on the monitoring operator. Next, a method for making it possible to discover the target more reliably by considering the expected size and shape of the target will be described.

FIG. 3 shows an image pickup apparatus according to the present invention .
2nd Embodiment is shown. In the sampling processing unit 211 shown in FIG. 3, the line extraction unit 212 extracts a sample line from the image data of one frame at a specified sampling interval in accordance with an instruction from the extraction control unit 213, and the sample line The average value calculation unit 413 and the difference calculation unit 41 using each pixel included in
It is configured to be provided for the processing of No. 4.

Here, the extraction control unit 213 divides the number of pixels corresponding to the processing range by the number of pixels for one line to obtain the number Ns of sample lines to be extracted, and further, the lines forming one frame. Of the sample line number Ns
The sampling interval Sl may be obtained by dividing by and used for the processing of the line extraction unit 212. In this way, the sampling unit 111 shown in FIG. 1 is operated by the operation of the line extraction unit 212 according to the instruction from the extraction control unit 213 .
4 , that is , the function of extracting Ns sample line number sample lines at the sampling interval Sl is realized as shown by hatching in FIG .

In this case, as shown in FIG. 4, since it is possible to extract the pixels forming the target image elongated in the horizontal direction as the sample pixels with a high probability, the sample pixels are extracted with a uniform density. As compared with the case, it can be expected that the pixel value corresponding to the pixel forming the target image will greatly contribute to the calculation of the adjustment coefficient and the brightness adjustment value. Therefore, the information regarding the intensity distribution of the target image captured in the imaging range can be surely reflected in the contrast adjustment and the brightness adjustment, and the target having an elongated shape in the horizontal direction can be clearly displayed. Therefore, it can further support the quick and reliable discovery of the target.

On the other hand, as shown in FIG. 5, a column extraction unit 214 is provided in place of the line extraction unit 212 shown in FIG.
In response to an instruction from the extraction control unit 213, 4 extracts sample pixels from the image data of each line at a specified sampling interval, and the average value calculation unit 41 extracts these pixels.
3 and the difference calculation unit 414 may be used for the processing.

In this case, the extraction control unit 213 obtains the number Nc of sample columns and the sampling interval Sc in accordance with the number of pixels corresponding to the processing range as described above, and supplies them to the processing of the column extraction unit 214. Good. In response to the instruction from the extraction control unit 213, the column extraction unit 214 operates to cause the sampling means 11 shown in FIG.
1 is realized , that is , as shown in FIG. 6, the function of extracting a sample column consisting of pixels that are vertically connected at a sampling interval Sc from image data of one frame is realized.
Be done .

In this case, as shown in FIG. 6, it is possible to extract the pixels forming the target image elongated in the vertical direction as the sample pixels with a high probability. Therefore, the sample pixels are extracted with a uniform density. As compared with the case, it can be expected that the pixel value corresponding to the pixel forming the target image will greatly contribute to the calculation of the adjustment coefficient and the brightness adjustment value. Therefore, the information regarding the intensity distribution of the target image captured in the imaging range can be surely reflected in the contrast adjustment and the brightness adjustment, and the target elongated in the vertical direction can be clearly displayed. , It can further support the quick and reliable discovery of goals.

Further, as shown in FIG. 7, a pixel extraction unit 215 is added to the sampling processing unit 211 shown in FIG.
The pixel extraction unit 215 sequentially receives the sample lines extracted by the line extraction unit 212, and the extraction control unit 21
The sample pixel may be extracted from each of these sample lines in accordance with the horizontal sampling interval designated in No. 3 and provided to the processing of the average value calculation unit 413 and the difference calculation unit 414.

At this time, the extraction control unit 213 sends the expected target image to the photodetector 41 via the input receiving unit 216.
The size information regarding the size occupied by the two light-receiving surfaces may be received in advance, the vertical sampling interval and the horizontal sampling interval may be obtained based on this size information, and the line extracting unit 212 and the pixel extracting unit 215 may be instructed respectively.

For example, as shown in FIG. 8 (a), on the light receiving surface of the photodetector 412, input of size information indicating that an expected main target image is formed with a size of K × L pixels. Accordingly, the extraction control unit 213 may set the vertical sampling interval to K pixels and the horizontal sampling interval to L pixels. Since the expected target size as described above can be calculated in advance, the operator may input it to the extraction control unit 213 before starting the monitoring work.

As described above, the input receiving unit 216 receives the size information in response to the instruction from the operator, and the extraction control unit 213 operates based on the size information , whereby the size input unit shown in FIG. The functions of 114 and the first density calculation means 115 are realized. Further, by operating the line extraction unit 212 and the pixel extraction unit 215 according to the obtained sampling density, as shown in FIG. 8B, each range of K × L pixels corresponds to the target size. One sample pixel is extracted for each.

As a result, regardless of the position of the target, at least one of the pixels on which the target image is formed can be extracted as a sample pixel without omission and used for contrast adjustment and brightness adjustment processing. In this case, since the entire imaging range can be covered with a very small number of sample pixels, the processing load on the image optimization processing unit 412 is significantly reduced, the time required for the optimization processing is shortened, and the imaging apparatus is It is possible to reduce the overall size.

In particular, for example, in the case of a monitoring system for monitoring a facility where the heat source in the monitoring range is limited to the target by a video imaging device using an infrared imaging device, the pixel value of the sample pixel corresponding to the background Is almost "0"
Therefore, it is possible to calculate the appropriate adjustment coefficient and the brightness adjustment value based on the pixel values of the sample pixels respectively extracted corresponding to all the targets.

If the image pickup device has a target tracking function, the tracking gate may be linked with the sample pixel extracting process. FIG. 9 shows a fifth embodiment of the image pickup device according to the present invention . In FIG. 9, the tracking processing unit 221 receives the image in the tracking gate from the analog / digital converter 411, detects the movement of the target image included in this image, and detects the light of the optical system 401 by the gimbal operation unit 222. It is configured to be used for axis adjustment work.

As a result, the CRT display 405 displays the imaging range centering on the main target captured by the tracking gate, and the operator mainly carries out monitoring work with emphasis on this main target. Be seen. in this case,
The operator's interest is mainly in the main target in the tracking gate, and the targets appearing in the vicinity of the target are relatively insignificant. It is necessary to make the target visible in the best condition and then consider the target around it.

Therefore, the sampling processing unit 211
The sample pixels may be extracted from inside and outside the tracking gate at a density according to their respective degrees of importance to be used for the calculation process of the adjustment coefficient and the brightness adjustment value. In FIG. 9, the extraction control unit 213 of the sampling processing unit 211 is
The input reception unit 2 receives the information about the position and size of the tracking gate from the tracking processing unit 221 described above.
16 receives via the 16 importance information indicating the importance of the inside of the tracking gate and its surroundings, and based on this information, the vertical sampling interval and the horizontal sampling interval are obtained for the inside of the tracking gate and the outside thereof, respectively. The line extraction unit 212 and the pixel extraction unit 215 may perform the processing.

Here, the operator compares in advance the importance of the target inside the tracking gate and the target around it, and according to the result of this comparison, the sampling density ratio inside and outside the tracking gate (for example, 2). If 1) is determined and the ratio of the sampling density is input to the extraction control unit 213 via the input reception unit 216 prior to the start of the monitoring work, the ratio of the sampling density is used as an index indicating the importance of each range. Good.

At this time, the extraction control unit 213 first allocates the total number of sample pixels corresponding to the processing range to the area inside the tracking gate and the area outside the tracking gate according to the above-described ratio, and then to each of them. Each sampling interval may be obtained based on the number of sample pixels and the total number of pixels included in each area. In this way, the instruction from the operator is received via the input receiving unit 216, and the extraction control unit 213 operates according to the instruction , whereby the importance input unit 116 and the second density calculation shown in FIG. 1 are calculated. By implementing the function of the means 117, it is possible to obtain the sampling densities of the inside and outside of the tracking gate according to their respective degrees of importance, and use the sampling density for sampling pixel extraction processing.

In this case, for example, as shown in FIG. 10, sample pixels are extracted from the inside of the tracking gate with a high density D1, and sample pixels are extracted from a region outside the tracking gate with a density D2 lower than the above-mentioned density D1. It can be extracted and used for the calculation process of the adjustment coefficient and the brightness adjustment value. This makes it possible to calculate the adjustment coefficient and the brightness adjustment value in consideration of the target appearing outside the tracking gate while surely reflecting the information about the intensity distribution of the target image captured in the tracking gate. The main goal can be clearly displayed, and another goal appearing in the peripheral portion of the screen can be surely displayed.

As information regarding sampling,
Instead of inputting the sampling density ratio inside and outside the tracking gate, the ratio of the number of sample pixels allocated to each may be input. It is also possible to instruct not to sample from the outside of the tracking gate by inputting a numerical value “0” as the number of sample pixels to be allocated or the ratio of sampling density as information regarding sampling.

In this case, as a matter of course, since the sample pixels are extracted only inside the tracking gate and are used for the calculation process of the adjustment coefficient and the brightness adjustment value, the information about the intensity distribution outside the tracking gate is It is not reflected in the adjustment coefficient or brightness adjustment value. However, since the extraction range of the sample pixels and the range that the operator is paying attention to match, for example, when operating with the tracking gate shifted from the center of the screen, the technique of the previous application There is an effect that cannot be obtained.

[0047]

As described above, according to the present invention, the processing capacity assigned to the calculation processing of the contrast adjustment value and the start adjustment value by extracting the sample pixels at an appropriate sampling density from the image of each frame. However, it is possible to obtain the contrast adjustment value and the start adjustment value that reflect the information related to the entire image of each frame, and it is possible to clearly display the target image regardless of the position occupied by the target within the imaging range. Because it will be possible
It is possible to support the monitoring work based on the video by the video imaging device and reduce the burden on the worker.

At this time , by extracting continuous sample pixels in the horizontal direction or the vertical direction, the ratio of the pixels constituting the elongated target in the horizontal direction or the vertical direction to the sample pixels is increased, and the intensity distribution of the target image is increased. It is possible to obtain a contrast adjustment value and a brightness adjustment value that are compatible with Further, according to the invention of claim 2 , since the sample pixels can be extracted at the sampling density according to the target size, the number of sample pixels to be extracted can be minimized, and the calculation processing of the contrast adjustment value and the brightness adjustment value can be performed. It is possible to reduce the processing load for realizing it.

Further, according to the invention of claim 3 , by applying different sampling densities in accordance with the importance levels designated for the attention area and the outside thereof, the respective sampling areas are processed in accordance with the importance degrees of the respective areas. The magnitude of the contribution of the intensity distribution in the region to the adjustment value calculation process can be adjusted.

[Brief description of drawings]

FIG. 1 is a principle block diagram of the present invention.

FIG. 2 is a diagram showing a first embodiment of a video image pickup apparatus according to the present invention .

FIG. 3 is a diagram showing a second embodiment of a video imaging device according to the present invention .

FIG. 4 is a diagram illustrating a sampling pixel extraction process.

FIG. 5 is a diagram showing a third embodiment of a video imaging apparatus according to the present invention .

FIG. 6 is a diagram illustrating a sampling pixel extraction process.

FIG. 7 is a diagram showing a fourth embodiment of a video imaging apparatus according to the present invention .

FIG. 8 is a diagram illustrating a sampling pixel extraction process.

FIG. 9 is a diagram showing a fifth embodiment of a video imaging apparatus according to the present invention .

FIG. 10 is a diagram illustrating a sampling pixel extraction process.

FIG. 11 is a diagram showing a configuration example of a conventional video imaging device.

FIG. 12 is a diagram illustrating a configuration example of a video imaging device to which an image optimization process is applied.

FIG. 13 is a diagram illustrating a configuration example of a video imaging device to which an image optimization process is applied.

Continuation of front page (58) Fields investigated (Int.Cl. ⁷ , DB name) H04N 5/222-5/257

Claims (3)

(57) [Claims] 1. The image adjusting means adjusts the contrast and brightness of an image represented by the image data in response to input of image data of each frame captured by a light receiving element, and provides the display processing by the display means. In the video imaging apparatus, the image adjusting means corresponds to the sampling pixels, each sampling means extracting each sample line consisting of one line of pixels continuous in the horizontal direction from each frame at a predetermined vertical sampling interval. Adjustment value calculating means for obtaining the contrast adjustment value and the brightness adjustment value based on the pixel value, and adjusting means for applying the obtained contrast adjustment value and the brightness adjustment value to all the pixels of each frame to adjust the pixel value An image pickup device having a configuration including: 2. Each frame captured by a light receiving element
Depending on the input of the image data of
Image contrast and brightness represented by image data
Image pickup device for adjusting the
In the above arrangement, the image adjusting means inputs a size of a target to be captured by the video imaging device.
Based on the input means and the size of the input target,
And a sampling density obtained by the first density calculating means,
Sampler for extracting sample pixels from each frame
Control means and a pixel value corresponding to the sample pixel.
Adjustment value calculating means for obtaining the last adjustment value and the brightness adjustment value
And the obtained contrast adjustment value and brightness adjustment value
Adjustment that applies to all pixels in the frame and adjusts pixel values
And an image pickup device characterized by the above-mentioned structure.
Place 3. Each frame captured by a light receiving element
Depending on the input of the image data of
Image contrast and brightness represented by image data
Image pickup device for adjusting the
In the above-mentioned arrangement, the image adjusting means includes a predetermined attention area on the display screen and an outside of the attention area
Shows the importance of adjusting the pixel value for
The importance input means for inputting the importance information, the importance information, and the position and size of the attention area are displayed.
Based on the information shown,
The second density calculator that calculates the sampling density for each
And the sampling density obtained by the second density calculating means,
Sampler for extracting sample pixels from each frame
Control means and a pixel value corresponding to the sample pixel.
Adjustment value calculating means for obtaining the last adjustment value and the brightness adjustment value
And the obtained contrast adjustment value and brightness adjustment value
Adjustment that applies to all pixels in the frame and adjusts pixel values
And an image pickup device characterized by the above-mentioned structure.
Place