JP2003158642A - Camera signal processing apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a camera signal processing apparatus that can reduce the number of circuits and the arithmetic quantity by applying map composite processing of a plurality of arithmetic operation processes of image data to a gamma nonlinear curve. SOLUTION: A first storage means 1 stores representative points of a nonlinear map curve for gamma correction, a map composition means 2 applies map composition to the representative points, a second storage means 3 stores representative points subjected to map composition, and a pixel correction means 4 uses the representative points subjected to map composition stored in the second storage means 3 to correct pixel data. Since the arithmetic for camera signal processing is map-composed to the representative points of a nonlinear map curve for gamma correction, the number of circuits and the arithmetic quantity for the camera signal processing can be reduced by the arithmetic process for map composition.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a camera signal processing device, and more particularly to a camera signal processing device to which a variable gamma correction device is applied.

[0002]

2. Description of the Related Art First, a variable gamma system, which is a basic constituent feature of the present invention, will be described. Gamma correction is a non-linear conversion that applies an inverse characteristic to an image in accordance with the cathode ray tube characteristic of a display device. In the NTSC system, which is a color television system in Japan, it is stipulated that a gamma correction with a gamma coefficient of 2.2 is performed on the transmitter side. Also, N
The TSC method is also used as a wired analog output method of an image pickup apparatus, and even in that case, gamma correction is applied on the image pickup apparatus side.

The gamma correction in the image pickup apparatus is utilized not only for the correction of the gamma coefficient 2.2 but also for the adjustment for making a picture. The variable gamma method is a method for facilitating the adjustment. As a typical example,
There is a method of approximating a non-linear curve by a polygonal line. That is, this is a method of designating representative points and performing linear interpolation between the points. In the case of this polygonal line approximation method, the number of representative points is about 16 for a PC camera and about 32 for a commercial camera, which is sufficient performance. As a more advanced method, there is a method of interpolating between representative points with a curve such as a spline curve, but the amount of calculation is large and it is rarely used in an imaging device.

Next, an example of a conventional technique to which the variable gamma method is applied will be described. As a conventional signal processing device to which the variable gamma method is applied, there is one disclosed in, for example, Japanese Patent Laid-Open No. 09-172562. The gist of the present invention is to store the value obtained by subtracting the black level from the representative point in advance in the memory to suppress the calculation amount. FIG. 7 shows a block diagram of the gamma correction circuit disclosed in the publication. In FIG.
A gamma correction value based on a digital code indicating the digital logic level of the image pickup signal is stored in the memory 94. The digitized input image pickup signal Xm + 1 is input to the encoder 93, and the reference data Xm + 1 is generated. The gamma correction values Xm, am and bm selected by the reference data Xm + 1 from the memory 94 are combined by the synthesizing means 95,
96 and 97. The gamma correction value X is added to the input image pickup signal Xm + 1 by the synthesizing means 95, 96 and 97.
By adding m, am and bm, an output image pickup signal having a gamma characteristic is obtained.

[0005]

The camera signal processing is roughly classified into the following three types. 1) Filter system processing using information of adjacent pixels: integral calculation such as low-pass filter, differential calculation such as edge enhancement, flaw correction, zoom processing, etc. 2) Four arithmetic operations for pixels ... Black level subtraction,
Brightness gain processing for brightness adjustment, color signal gain processing for white balance, setup processing, etc. Further, as post-processing of these calculations, clip processing such as saturated clip and 0 clip is performed. 3) Non-linear mapping processing: luminance gamma, color gamma, aperture gamma, etc. It also includes gamma knee processing.

Of the above-mentioned three processes, each process of 2) and 3) can be combined by generating mapping and performing one non-linear curve to reduce the circuit amount and the calculation amount. It is possible. However, Japanese Patent Laid-Open No. 09-1
In the gamma correction described in Japanese Patent No. 72562, a black level subtraction process is added to the gamma curve, and a plurality of arithmetic processes are not integrated by mapping synthesis. In addition, it is a method of fixedly writing the gamma curve in consideration of the black level to the memory, and it is not possible to cope with a change in the black level, and there is a problem that signal processing may be performed with an incorrect black level. there were.

Further, in recent years, image pickup devices have been digitally output, and output devices have been diversified into liquid crystal monitors, plasma displays, printers and the like. However, these output devices do not have gradation characteristics that can be corrected by a simple power function. Therefore, the conventional method has a problem that it cannot cope with diversification of output devices.

The present invention has been made in order to solve the above-mentioned conventional problems, and a plurality of arithmetic operation system processes for image data are image-synthesized on a gamma nonlinear curve to reduce a circuit and an operation amount, and an image is picked up. The present invention provides a camera signal processing device that controls the output of image data so as to respond to changes in the device, and that also supports the diversification of output devices.

[0009]

A camera signal processing apparatus according to the present invention comprises a first storage means for storing a representative point of a non-linear mapping curve for gamma correction, and a map synthesizing means for performing map synthesizing on the representative point. And a second storage means for storing the mapped and synthesized representative points, and a pixel correction means for correcting the pixel data using the mapped and synthesized representative points. With this configuration, the calculation of camera signal processing can be mapped and synthesized on the non-linear mapping curve for gamma correction in advance, so that the circuit for camera signal processing can be reduced by the calculation processing for mapping and synthesis.

In the camera signal processing apparatus according to the present invention, the image statistic means for deriving statistical information from one frame of the image data output from the pixel correcting means, and the mapping synthesizing means according to the statistical information derived by the image statistic means. And an image control means for changing the coefficient of the calculation carried out in. With this configuration, the image data output can be automatically controlled by controlling the coefficient according to the corrected image data output.

The camera signal processing apparatus according to the present invention has a structure in which brightness adjustment is performed in the image control means. With this configuration, the camera signal processing circuit can be reduced and the brightness can be adjusted by mapping and synthesizing the camera signal processing calculation on the non-linear mapping curve for gamma correction.

The camera signal processing device according to the present invention has a structure in which white balance control is performed in the image control means. With this configuration, the camera signal processing circuit can be reduced and the white balance can be controlled by image-synthesizing the camera signal processing operation on the non-linear mapping curve for gamma correction.

In the camera signal processing device according to the present invention, the first storage means is a storage means for storing a plurality of non-linear mapping curves, and the non-linear mapping curves stored in the first storage means according to an output device. It has a configuration in which there is a curve switching means for switching and outputting. With this configuration, by switching the non-linear mapping curve according to the output device, it is possible to perform proper gamma correction for different output devices.

In the camera signal processing device according to the present invention, the second storage means is a storage means for storing two non-linear mapping curves for update and reference, and at the timing of completion of mapping synthesis by the mapping synthesis means. , And a switching means for switching between the updating and the reference non-linear mapping curves. With this configuration, the independence of the pixel correcting unit and the image synthesizing unit is maintained, and it is not necessary to synchronize the update timings, which facilitates the development of the image control process.

A camera signal processing method according to the present invention comprises a step of storing a representative point of a non-linear mapping curve for gamma correction, and a step of performing map synthesis on the representative point.
From the statistical information derived from the step of memorizing the representative point that has been image-synthesized, the step of performing pixel correction that corrects pixel data using the representative point that has been image-synthesized, the step of deriving statistical information for one screen of the image And a step of controlling the arithmetic coefficient of the mapping synthesis. With this configuration, the amount of circuits can be reduced when implemented by hardware, and the speed performance can be improved when implemented by software.

The program according to the present invention has a configuration for causing a computer to execute each step in the camera signal processing method according to the seventh aspect. With this configuration, the amount of calculation for pixels is reduced by performing map synthesis on the representative point of the nonlinear mapping curve, and the speed performance is improved.

A computer-readable recording medium according to the present invention has a structure for recording the program according to claim 8. With this configuration, by mounting this recording medium on another computer that operates according to a program, the computer can be easily implemented and the performance of the camera signal processing speed of the computer can be improved.

[0018]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The first to seventh embodiments of the present invention will be described in detail below with reference to the accompanying drawings. (First Embodiment) First, a camera signal processing apparatus according to a first embodiment of the present invention will be described with reference to the block diagrams of FIGS. 1 and 2. In FIG. 1, the first
The storage means 1 is a memory area for storing a basic non-linear mapping curve (also called non-linear curve or mapping curve), and is composed of a non-volatile memory such as an EEPROM. As the content of the data, for example, a numerical value sequence indicating the level of the representative point after mapping is stored. In the polygonal line approximation, it is common to have 16 to 32 representative points.
If the values before mapping are set at equal intervals, it is not necessary to store the level before mapping, and the amount of circuits can be reduced. There is also a case where a method of previously obtaining and storing the intercept and the slope is adopted, and this method is particularly effective for reducing the amount of calculation in software signal processing.

In the mapping synthesizing means 2, mapping synthesizing is performed by performing offset processing, gain processing and the like on the representative points (details will be described later with reference to FIG. 2). Since these processes do not require real-time calculation,
It can be realized by a program such as a microcomputer, which increases the easiness of changing the processing. The second storage means 3 is an area for storing the representative points calculated by the mapping synthesis means 2 and is realized by a register of an LSI when the signal processing is realized by hardware. The data format is the same as that of the first storage means 1. In the pixel correction means 4, by correcting the input image data using the non-linear curve stored in the second storage means 3,
Obtain output image data. When the polygonal line approximation method is used as the correction method, if the method of obtaining the intercept and the slope is used in advance, the output data can be obtained by multiplying the input data by the slope and adding the intercept. In short,
It can be realized by one multiplier and one adder.

When a fixed value is used for a coefficient used for offset processing, gain processing (FIG. 2), etc. in the image synthesizing means 2, a personal computer or the like separately performs an operation equivalent to that of the image synthesizing means 2. If the result obtained is used as the default value of the second storage means 3, the first storage means 1 and the mapping synthesis means 2 can be omitted.

Next, with reference to the block diagram of FIG. 2, an example of the image synthesizing means in the first embodiment of the present invention will be described. The processing described below is an example of processing generally used in luminance signal processing and the like. In the offset process 11 shown in FIG. 2, a subtraction process of X = X−A is performed, in a gain 1 process 12, a multiplication process of X = (X + A) * B is performed, and in a gamma process 13, X → Y.
The gain 2 processing 14 performs gain processing Y = Y * C, and the setup processing performs addition processing Y = (Y * C) + D. Here, X is a representative point (value), Y is a mapping value, and A to D are coefficients. This example will explain how to perform mapping synthesis. As described above, this gamma processing uses the representative point X consisting of 16 to 32 points and the corresponding numerical value sequence of the mapping value Y in the case of the polygonal line approximation method,
A variable gamma method is used that is obtained by interpolating between representative points. The mapping value Y is uniquely determined for the representative point X.

The processing existing before the gamma processing, that is, the offset processing 11 and the gain 1 processing 12 are obtained by applying an inverse function to the representative point X in the order of the gamma processing. That is, X ÷ B + A becomes the representative point X after the image synthesis. In the process after the gamma correction, that is, in the gain 2 process 14, the gain 2 process 14 is calculated by performing an operation in the order close to the gamma process. That is, Y * C + D is the mapping value Y
Becomes By performing the above-described calculation for each representative point X, a mapping-synthesized nonlinear curve is obtained. When the representative points X are desired to be evenly spaced, it is possible to obtain them by interpolation from a non-linear curve obtained by mapping and synthesizing the respective points between the representative points at equal intervals.

When saturation occurs due to mapping synthesis, partial correction such as clipping or knee processing can be performed on the saturated representative point X. The same applies to the low-level portion, and the negative value portion may be partially corrected by clipping processing or the like. When FIG. 2 is designed as a circuit, clip processing is required for each calculation, and in the present invention, it is possible to reduce the number of these clip processing circuits. By performing the above in advance, the pixel correction unit 4
Thus, it is possible to perform a plurality of arithmetic processes such as offset process and gain process on the image data only by performing a normal variable gamma process, that is, a non-linear curve interpolation process.

As described above, according to the camera signal processing apparatus of the first embodiment of the present invention, the processing is map-synthesized with the mapping curve (non-linear curve) of the gamma correction to generate the composite mapping curve. The circuit can be reduced by the amount of mapping synthesis of the mapping curve for gamma correction.

(Second Embodiment) Next, a camera signal processing device according to a second embodiment of the present invention will be described with reference to the block diagram of FIG. FIG. 3 is derived from FIG. 1 and additionally includes an image statistic means 5 and an image control means 6 in addition to the components shown in FIG.
The other components are the same as those shown in FIG. 1, and only the changed and added parts from FIG. 1 will be described below.

First, the image statistical means 5 generates statistical information of one frame of an image such as the average value of the output values of the pixel correction means 4 and outputs it to the image control means 6. However, it is necessary to calculate every pixel or every few pixels, and when the camera signal processing is embodied using both hardware and software, it is appropriate to perform processing on the hardware side. The image control means 6 compares, for example, the average value of the output values with a predetermined target value of the output value, lowers the gain when the target value> the average value, and lowers the gain when the target value <the average value. By increasing the gain or the like, the coefficient (gain coefficient) such as the gain amount of the image synthesizing means 2 is updated and controlled. Then, the pixel correction means 4 can use the gain coefficient to correct the input image data again. However, this process is 1
Since it is performed only once in a frame, it can be realized by microcomputer software. Further, the mapping synthesizing means 2 is
Mapping synthesis is performed every frame or once every several frames by using a coefficient such as a new gain amount.
At most 32 representative points are updated, and processing by microcomputer software is possible.

As described above, according to the second embodiment of the present invention, the process is image-synthesized on the gamma-correction mapping curve by controlling the coefficient of the process for image-synthesizing on the gamma-correction mapping curve. By reducing the number of circuits and controlling the gain coefficient according to the corrected image data output, the image data output can be automatically controlled, and the camera signal can be controlled by a program process such as a microcomputer.

(Third Embodiment) Next, a camera signal processing apparatus according to a third embodiment of the present invention will be described with reference to the block diagram of FIG. The characteristic of the camera signal processing device in the present embodiment is that the camera signal processing device in the second embodiment is used to perform brightness adjustment. Hereinafter, with reference to FIG. 3 used in the second embodiment again, a supplementary explanation for the brightness adjustment will be given.

The first storage means 1 stores a non-linear curve which is a gamma curve for luminance gamma correction.
The mapping synthesizing means 2 uses the processing shown in the synthetic mapping example of FIG. However, although two gains are provided in FIG. 2 for the sake of explanation, in the case of brightness adjustment, only one of the gain 1 process and the gain 2 process is used as the gain. Both the input signal and the output signal of the pixel correction means 4 are luminance signals. The image statistical means 5 calculates the average value of the brightness. The image control means 6 adjusts the brightness.

The brightness adjustment is to control the brightness level by comparing the target brightness level with the brightness average value and adjusting the parameter for changing the brightness level. The signal processing of the present invention can be controlled by changing the gain coefficient of the mapping synthesizing means 2. In addition,
As a brightness adjusting method, it is general to control a lens iris control, an electronic shutter, and an analog gain. However, when the resolution of the electronic shutter is low or the reaction speed of the analog gain is slow, Control by such digital gain is effective.

As described above, in the camera signal processing for the luminance adjustment in the third embodiment of the present invention, the gamma correction mapping curve is controlled by controlling the coefficient of the processing for mapping and combining with the gamma correction mapping curve. It is possible to perform brightness adjustment by program processing of a microcomputer or the like, while reducing the circuits by the amount of mapping synthesis of processing.

(Fourth Embodiment) Next, a camera signal processing apparatus according to a fourth embodiment of the present invention will be described with reference to the block diagram of FIG. A feature of the camera signal processing device in the present embodiment is that white balance control is performed using the camera signal processing device in the second embodiment. The white balance control will be supplementarily described below with reference to FIG. 3 used in the second embodiment again.

The non-linear curve stored in the first storage means 1 is a gamma curve for color gamma correction, and RG
The same gamma curve for B3 color is used. The mapping synthesizing means 2 uses the processing shown in the synthetic mapping example of FIG. However, in FIG. 2, two gains are provided for the sake of explanation, but in the case of white balance adjustment, only one of the gains 1 and 2 is used. Since the coefficients such as gain are provided for each of the three colors of RGB, the mapping synthesis is performed for each of the three colors of RGB.

The second storage means 3 also requires storage areas for the non-linear curves for each of the three RGB colors. There are three types of RGB input and output signals of the pixel correction means 4, and pixel correction is performed for each of them. In the image statistical means 5,
First, white detection is performed, and the color difference C of a pixel determined as a white pixel
The average value of each rCb is calculated. The image control means 6 performs white balance control. When the color difference Cr has a positive value, the R gain is decreased, and when the color difference Cr has a negative value, the R gain is increased. The B gain is similarly controlled by the value of the color difference Cb. The G gain is controlled only in a special case such as when the R gain or the B gain is saturated. In this embodiment, the control for the RGB three color signals has been described, but the control for two CrCb signals is also possible.

As described above, in the camera signal processing according to the third embodiment of the present invention, the processing is mapped onto the gamma-corrected mapping curve by controlling the coefficient of the processing for mapping and combining with the gamma-corrected mapping curve. It has an excellent effect in that the white balance control can be performed by the microcomputer software while reducing the circuits for the combined amount.

(Fifth Embodiment) Next, a camera signal processing apparatus according to a fifth embodiment of the present invention will be described with reference to the block diagram of FIG. FIG. 4 is derived from FIG. 3, in which the curve switching means 7 is added to the components shown in FIG. 3, and the other components are the same as those shown in FIG. Only the changes and added parts will be explained.

The first storage means 1 stores information on a plurality of nonlinear mapping curves corresponding to different types of output devices. As the output device, in addition to a cathode ray tube monitor, a liquid crystal monitor, a plasma display, a printer, etc. can be considered. The non-linear curve stored in the first storage means is switched in the curve switching means 7. This can be realized by providing a user interface such as a switch in the image pickup device and switching by the user. Also,
When the output of the camera is an interface such as USB or Ethernet capable of bidirectional communication, automatic switching is possible by negotiation with the output device.

In the camera signal processing according to the fifth embodiment of the present invention as described above, as compared with the conventional camera signal processing, the processing is performed by mapping the processing to the mapping curve for gamma correction.
Gamma correction according to the output device can be performed by storing a plurality of gamma curves according to the characteristics of the output device and switching and using the gamma curves according to the output device while enabling circuit reduction. In that respect, it has an excellent effect.

As described above, according to the fifth embodiment of the present invention, the gamma correction mapping curve is switched according to the output device and used, and the processing is mapped to the mapping curve to obtain the gamma correction. It is possible to perform gamma correction according to the output device, while reducing the circuits by the amount of the mapping mapping of the processing to the correction mapping curve.

(Sixth Embodiment) Next, a camera signal processing apparatus according to a sixth embodiment of the present invention will be described with reference to the block diagram of FIG. FIG. 5 is derived from FIG. 3, in which the second storage means 3 shown in FIG. 3 is changed to the second storage means 31, and the other components are the same as those shown in FIG. Only the changes from FIG. 3 will be described below.

The second storage means 31 has storage areas for two non-linear curves for updating and for reference. The update area is
The mapping synthesizing means 2 is used as an area for storing the mapping synthesizing result, and the reference area is used by the pixel correcting means 4 for reference in pixel correction. Further, the second storage means 31 has a switching means for switching the updating and reference non-linear mapping curves, and the switching for updating / reference is determined by the mapping synthesizing means 2 and the information of all the representative points is stored. At the timing of completion of writing in the update area, switching between update and reference is performed according to the reference area designation information. It is appropriate to provide the reference area designation information as a register of the LSI. Pixel correction means 4
In (1), before performing the processing of the head of the frame, the non-linear curve to be used is determined by referring to the reference area designation information.

As described above, in the camera signal processing according to the sixth embodiment of the present invention, when the camera signal processing control is performed while the circuit is reduced by the amount of the processing of mapping the processing to the mapping curve of gamma correction. In addition, by increasing the independence of the means for mapping and synthesizing and the means for correcting pixels, without synchronizing with each other,
It has an excellent effect that it can be processed.

(Seventh Embodiment) Next, the operation of the camera signal processing apparatus according to the seventh embodiment of the present invention will be described with reference to the flowchart of FIG. In FIG. 6, first, the camera signal processing (step ST11, the letters of the following steps are omitted) is the starting point of the camera signal processing sequence, and this camera signal processing operates from the power-on of the camera to the power-off. To continue. In the mapping synthesis process (ST12), the conversion process of one representative point stored in the first storage unit is performed, and the conversion result is stored in the second storage unit. (Refer to the description of FIG. 2 for the specific calculation method.) The determination step (ST13) indicates that a loop is executed until the mapping synthesis of all the representative points is completed. When the mapping synthesis processing of all the representative points is completed, the image correction means (S
At T14), interpolation processing is performed on one pixel using the non-linear curve stored in the second storage unit.

In the image statistical processing (ST15), the addition processing of the image data calculated in the pixel correction processing (ST14) is performed to obtain the total sum of the image data of one screen. The determination step (ST16) indicates that a loop is performed until pixel correction processing is performed on all pixels in one screen. In the image control process (ST17), an average value is obtained from the total sum of the image data of one screen and the number of pixels added in the image statistical process (ST15), and the obtained average value and the target value are compared to obtain a mapping image. The gain coefficient and the like used in the combining process (ST12) are updated. In the determination step (ST18),
When the coefficient is updated in the image control processing (ST17),
Since it is necessary to re-synthesize the map with a new coefficient, the process branches to the map synthesizing means (ST12), and if the coefficient is not updated, the image processing of the next frame is performed using the existing non-linear curve.

In the camera signal processing program according to the seventh embodiment of the present invention as described above, the processing performed on the pixel is performed on the representative point of the mapping curve for gamma correction. Compared with the signal processing program, it has an excellent effect of reducing the calculation amount and improving the speed performance. Thinking about one operation,
For example, the same processing can be performed by performing the processing that should be performed on the VGA size (300,000 pixels) on at most 32 representative points, and the calculation amount is about 1
It becomes 1 / 10,000. It should be noted that the effect of reducing the amount of calculation increases in proportion to the number of pixels, so that it is very effective in image pickup devices in which the number of pixels has increased in recent years.

As described above, according to the camera signal processing device to which the gamma correction device according to the embodiment of the present invention is applied, the arithmetic processing to be performed on the pixel is mapped and combined with the non-linear curve for gamma correction. As a result, a camera signal processing device capable of reducing the processing amount for pixels, reducing the circuit amount when embodied as hardware, and improving the speed performance of software when embodied as software is provided. be able to.

[0047]

As described above, the camera signal processing of the present invention is image-synthesized by previously performing image-synthesis on the representative point of the non-linear curve for gamma correction in the arithmetic processing to be performed on the image data. A camera that adapts to changes in the imaging environment by reducing the number of circuits for the above calculation processing, changing the gain coefficient when performing image synthesis based on output image data, performing image synthesis again, and adjusting the output image data. Signal control can be performed, and gamma correction corresponding to diversification of output devices can be performed.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of a camera signal processing device according to a first embodiment of the present invention,

FIG. 2 is a block diagram showing an example of a mapping synthesizing unit applied to the camera signal processing apparatus according to the first embodiment of the present invention,

FIG. 3 is a block diagram showing a configuration of a camera signal processing device according to second to fourth embodiments of the present invention.

FIG. 4 is a block diagram showing a configuration of a camera signal processing device according to a fifth embodiment of the present invention,

FIG. 5 is a block diagram showing a configuration of a camera signal processing device according to a sixth embodiment of the present invention,

FIG. 6 is a flowchart showing the operation of the camera signal processing device according to the seventh embodiment of the present invention,

FIG. 7 is a block diagram showing a configuration of a signal processing device to which a conventional variable gamma system is applied.

[Explanation of symbols]

1 First storage means 2 Mapping synthesis means 3, 31 Second storage means 4 pixel correction means 5 Image statistical means 6 Image control means 7 Curve switching means 11 Offset processing 12 Gain 1 processing 13 Gamma processing 14 Gain 2 processing 15 Setup process

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Taro Himez             1-3 1-3 Nishinen, Kanazawa, Ishikawa Prefecture Stock Association             Company Matsushita Communication Kanazawa Research Center (72) Inventor Toshiyuki Sano             3-1, Tsunashima-Higashi 4-chome, Kohoku-ku, Yokohama-shi, Kanagawa             Matsushita Communication Industry Co., Ltd. F term (reference) 5B057 AA20 BA02 CA01 CA08 CA12                       CA16 CB01 CB08 CB12 CB16                       CC01 CE11 CE17                 5C021 PA01 PA66 XA34                 5C066 AA01 BA01 CA05 EA14 EC05                       GA01 GA05 GB01 KC01 KC02                       KE02 KE03 KM01 KM05 KP01                 5C077 MP08 PP12 PP15 PP32 PQ03                       PQ08 PQ12 PQ22

Claims (9)

[Claims] 1. A first storage means for storing a representative point of a non-linear mapping curve for gamma correction, a mapping synthesizing means for subjecting the representative point to mapping synthesis, and a second storage means for storing the representative point subjected to mapping synthesis. A camera signal processing device comprising: a storage unit and a pixel correction unit that corrects pixel data using a representative point that is image-synthesized. 2. An image statistic means for deriving statistical information from one frame of the image data output from the pixel correcting means, and a coefficient for calculation performed by the mapping synthesizing means according to the statistical information derived by the image statistic means. The camera signal processing apparatus according to claim 1, further comprising an image control unit for changing the image control unit. 3. The camera signal processing apparatus according to claim 2, wherein the image control means adjusts the brightness. 4. The camera signal processing apparatus according to claim 2, wherein the image control means performs white balance control. 5. The first storage means is a storage means for storing a plurality of non-linear mapping curves, and a curve switching for switching and outputting the non-linear mapping curves stored in the first storage means according to an output device. 5. The camera signal processing device according to claim 1, further comprising means. 6. The second storage means is a storage means for storing two non-linear mapping curves for updating and for reference, and for updating and for reference at the timing of completion of mapping synthesis by the mapping synthesizing means. 6. The camera signal processing device according to claim 1, further comprising switching means for switching a non-linear mapping curve. 7. A step of storing a representative point of a non-linear mapping curve for gamma correction, a step of performing map synthesis on the representative point, a step of storing a representative point after the map synthesis, and a representative point after the map synthesis. A step of performing pixel correction for correcting pixel data using the image data, a step of deriving statistical information of one screen of an image, and a step of controlling an arithmetic coefficient for mapping synthesis from the derived statistical information. Camera signal processing method. 8. A program for causing a computer to execute each step in the camera signal processing method according to claim 7. 9. A computer-readable recording medium in which the program according to claim 8 is recorded.