JP2016010008A - Imaging device and noise correction method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an imaging device in which the noise included in a captured image is corrected appropriately, and to provide a noise correction method.SOLUTION: Noise included in a captured image is corrected by using a plurality of noise images. A system control circuit 300 controls an imaging CMOS22 to capture a subject image by using arbitrary shooting conditions, thus obtaining a captured image. Subsequently, the shooting conditions and acquisition conditions are compared thus calculating adjustment coefficients. Thereafter, adjustment coefficients k1 and k2 are calculated by using the shooting conditions of the captured image and the acquisition conditions of noise images 1 and 2. Furthermore, noises a and b are corrected, by using the adjustment coefficients k3 obtained by subtracting the adjustment coefficient k1 from k2. D4=D3-k1 D1-k3 D2, where D1 is the pixel data of the noise image 1, D2 is the pixel data of the noise image 2, D3 is the pixel data of the captured image, and D4 is the pixel data of an image subjected to noise correction.

Description

  The present invention relates to an imaging apparatus and a noise correction method for correcting noise included in an image.

  2. Description of the Related Art An imaging device that corrects noise included in a captured image captured using an imaging element is known. The captured image has noise due to the exposure time and the temperature of the image sensor. Therefore, an image captured in advance at a specific temperature and exposure time is multiplied by a gain corresponding to the exposure time and a gain corresponding to the temperature of the image sensor, and the obtained image is subtracted from the captured image. Thereby, the noise contained in a picked-up image is correct | amended (patent document 1).

Japanese Unexamined Patent Publication No. 63-263881

  However, as described above, the captured image includes noise due to the exposure time and temperature. For this reason, in a configuration in which a single image captured in advance is multiplied by a gain according to temperature and a gain according to exposure time, the noise may not be corrected appropriately.

  The present invention has been made in view of these problems, and an object thereof is to obtain an imaging apparatus and a noise correction method that appropriately correct noise included in a captured image.

  An imaging apparatus according to a first invention of the present application includes a storage unit that stores a plurality of noise images created for each of a plurality of acquisition conditions, an imaging element that captures a subject image using imaging conditions, and outputs a captured image; A noise correction unit that adjusts a plurality of noise images using a plurality of acquisition conditions and shooting conditions to create an adjustment noise image, and corrects noise included in the shooting images using the adjustment noise image is provided. And

  The acquisition condition has a plurality of dependency conditions, and the noise correction unit preferably calculates an adjustment coefficient based on the plurality of dependency conditions, and creates the adjustment noise image by adjusting the noise image according to the adjustment coefficient. . Noise included in the captured image can be corrected appropriately.

  It is preferable that the noise correction unit calculates an adjustment coefficient for adjusting the noise image based on the acquisition condition and the imaging condition, and creates the adjustment noise image by adjusting the noise image according to the adjustment coefficient. Noise included in the captured image can be corrected appropriately.

  The storage unit preferably stores a plurality of acquisition conditions and a plurality of noise images created for each acquisition condition. Noise included in the captured image can be corrected appropriately.

  It is preferable that the noise image and the captured image have pixel data composed of a plurality of rows, and the storage unit stores the acquisition condition for each row. Noise can be corrected more accurately.

  It is preferable to include a noise image creation unit that creates a noise image under a predetermined acquisition condition. There is no need to prepare a noise image in advance. In addition, a noise image can be created according to deterioration with time of the imaging apparatus.

  In the noise correction method according to the second invention of the present application, the image pickup device picks up a subject image using a predetermined shooting condition and outputs a shot image, and a noise image created under a predetermined acquisition condition from the storage unit And a step of adjusting the noise image by using the acquisition condition and the shooting condition to generate an adjustment noise image, and a step of adjusting the noise included in the shot image by the noise correction unit. And using the correcting step.

  According to the present invention, an imaging device and a noise correction method that appropriately correct noise included in a captured image are obtained.

It is a block diagram of the imaging device by this invention. It is the figure which showed a part of pixel data which a picked-up image has schematically. It is the figure which showed the relationship between an image pick-up element and noise. It is the flowchart which showed the correction condition selection process. It is the flowchart which showed the 1st correction process. It is the flowchart which showed the 2nd correction process. It is the flowchart which showed the 3rd correction process.

  Hereinafter, an imaging device and a noise correction method according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 shows a digital camera 10 that is a first embodiment of an imaging apparatus. First, the configuration of the digital camera 10 will be described with reference to FIG.

  The digital camera 10 includes a main body 12 and an interchangeable lens 14 that is detachable from the main body 12.

  The main body 12 includes a pentagonal roof prism (hereinafter referred to as a “penta prism”) 16, a finder screen 17, a main mirror 18, a sub mirror 19, an imaging CMOS 22, a photometric sensor 23, an AF module 24, and noise correction. The system control circuit 300, the display unit 33, the memory card 40, and the release button 41 are mainly provided.

  The interchangeable lens 14 mainly includes a photographing optical system 15. The photographing optical system 15 includes a plurality of optical lenses, and forms a subject image on the imaging CMOS 22.

  The main mirror 18 is a thin plate having a reflecting surface that reflects light, and is provided on the optical path from the photographing optical system 15 to the imaging CMOS 22 so that the reflecting surface faces the photographing optical system 15. The main mirror 18 can move in and out of the optical path by rotating around a predetermined axis. The reflecting surface reflects a part of the incident light and transmits the remaining light.

  The sub mirror 19 is attached to the back surface of the reflecting surface of the main mirror 18 so that the light transmitted through the reflecting surface of the main mirror is guided to the AF module 24.

  The AF module 24 receives light from the sub-mirror 19 and determines whether or not the subject image is formed on the imaging CMOS 22.

  The finder screen 17 is a flat plate having a diffusion surface, and is provided in parallel with the optical path and the rotation axis of the main mirror 18. In the state where the digital camera 10 is held in the horizontal position, the finder screen 17 is positioned perpendicular to the optical axis reflected by the main mirror 18.

  A shutter 20 is provided in front of the imaging CMOS 22. The shutter 20 opens and closes the optical path.

  The pentaprism 16 converts the image projected on the screen into a vertical and horizontal right image.

  An eyepiece lens 21 and a photometric sensor 23 are provided behind the pentaprism 16, that is, in a direction opposite to the photographing optical system 15.

  The eyepiece lens 21 condenses the light emitted from the pentaprism 16. The user observes the subject image by visually recognizing the collected light. The photometric sensor 23 is provided above the eyepiece 21.

  When the main mirror 18 is positioned on the optical path, that is, between the photographing optical system 15 and the imaging CMOS 22, a part of the subject image that has passed through the photographing optical system 15 is reflected by the main mirror 18 and guided to the finder screen 17. Then, an image is formed on the finder screen 17. The formed image enters the pentaprism 16. Of the subject image that has passed through the photographing optical system 15, the light transmitted through the main mirror 18 is reflected by the sub-mirror 19 and guided to the AF module 24. The subject image transmitted through the finder screen 17 is received by the photometric sensor 23 through the pentaprism 16. The photometric sensor 23 takes a received subject image and performs photometry.

  When the main mirror 18 is out of the optical path, that is, when the main mirror 18 is not positioned between the photographing optical system 15 and the imaging CMOS 22 and is disposed so as to cover the finder screen 17, the subject image that has passed through the photographing optical system 15 Is imaged on the imaging CMOS 22 via the shutter 20. The imaging CMOS 22 captures an incident subject image and generates imaging pixel data. The imaging pixel data is information representing the luminance of red, green, and blue, that is, information represented by an RGB color space.

  The imaging pixel data generated by the imaging CMOS 22 is subjected to a predetermined process such as being multiplied by a predetermined gain (gain) by the signal processing circuit 25 and then transmitted to the system control circuit 300.

  The system control circuit 300 is a circuit that controls the operation of the digital camera 10, and includes a ROM 36 that is a storage unit for storing data, and includes an AF module 24, a signal processing circuit 25, a peripheral control circuit 32, a display unit 33, Connected to the AF motor 35 and the memory card 40.

  The system control circuit 300 receives imaging pixel data from the signal processing circuit 25 and creates a captured image based on the imaging pixel data and stores it in the memory card 40 or creates a through image and displays it on the display unit 33. Display.

  The peripheral control circuit 32 controls the operations of the shutter 20, the imaging CMOS 22, and the photometric sensor 23 based on instructions from the system control circuit 300.

  The AF motor 35 drives the photographing optical system 15 based on an instruction from the system control circuit 300 so that the focus of the photographing optical system 15 matches the subject.

  The display unit 33 can display a captured image and a through image stored in the memory card 40.

  The imaging CMOS 22 has a plurality of photodiodes arranged in a matrix. Photodiodes arranged in the horizontal direction are called lines (rows). The photodiode converts incident light into electrical energy and accumulates it. By reading this out for each line, pixel data is output. A color filter is attached to the imaging CMOS 22. The color filter includes a red filter R that transmits light having a red wavelength, a green filter G that transmits light having a green wavelength, and a blue filter B that transmits light having a blue wavelength (see FIG. 2). .

  The ROM 36 stores a plurality of noise images acquired in advance under predetermined acquisition conditions. A method of creating a noise image will be described with reference to FIG.

  When a subject image is captured using the imaging CMOS 22, noise is generated in the captured image. There are mainly the following three causes of noise. The first is due to the dark current generated in the photodiode, and is hereinafter referred to as noise condition A. The second is a characteristic difference in the plane of the imaging CMOS 22, which is hereinafter referred to as a noise condition B. That is, this is due to shading due to characteristic variation of each photodiode and performance error of each circuit provided around the photodiode. The third reason is that the period from the start of accumulating charges to the time of reading varies from line to line, and is hereinafter referred to as noise condition C. Since this period varies from line to line, the amount of dark current accumulated varies from line to line, resulting in a difference in characteristics in the vertical direction.

  The noise condition A depends on the temperature, the exposure time, and the gain of the imaging CMOS 22 and generates noise a. Noise condition B depends on the gain and causes noise b. The noise condition C depends on the temperature of the imaging CMOS 22 and generates noise c. A condition on which each noise condition depends is called a dependency condition. That is, the dependency condition of the noise condition A is the temperature, the exposure time, and the gain of the imaging CMOS 22, the dependency condition of the noise condition B is the gain, and the dependency condition of the noise condition C is the temperature of the imaging CMOS 22.

  Based on these conditions, a plurality of, for example, two noise images are created in advance. The first noise image 1 is imaged in the light-shielded state using the same CMOS as the imaging CMOS 22 under conditions of normal temperature (for example, 20 ° C.), long-time exposure (for example, 60 minutes), and high gain. The resulting image includes noises a, b, and c. The second noise image 2 is imaged in the light-shielded state using the same CMOS as the imaging CMOS 22 under conditions of normal temperature (for example, 20 ° C.), short-second exposure (for example, 1 second), and high gain. The resulting image includes noises b and c. Strictly speaking, the noise image 2 also includes the noise a, but the amount of the noise a can be ignored under the conditions when the noise image 2 is photographed. The obtained noise images 1 and 2 are stored in the ROM together with conditions when the noise images 1 and 2 are photographed. The conditions when the noise images 1 and 2 are captured are referred to as acquisition conditions, and include the temperature, exposure time, and gain of the imaging CMOS 22 when imaging is performed.

  Next, a first correction process for correcting noise included in a captured image using a plurality of noise images will be described. Here, it is assumed that the noise c included in the noise image 1, the noise image 2, and the captured image is an amount that can be ignored.

  First, the system control circuit 300 causes the imaging CMOS 22 to capture a subject image using an arbitrary imaging condition to obtain a captured image. This captured image includes noises a, b, and c. Here, the noise c can be ignored as described above. Therefore, it can be considered that the captured image includes noises a and b. Similarly, it can be considered that the noise image 1 includes noises a and b, and the noise image 2 includes noise b. The imaging conditions include the temperature of the imaging CMOS 22 when the imaging is performed, the exposure time, and the gain.

  Next, the adjustment coefficient is calculated by comparing the imaging condition with the acquisition condition. First, the adjustment coefficient k1 is calculated using the shooting condition of the shot image and the acquisition condition of the noise image 1. More specifically, since the noise image 1 mainly includes noises a and b, the adjustment coefficient k1 is obtained using the temperature, exposure time, and gain of the imaging CMOS 22 that causes the noises a and b. That is, a temperature ratio that is a ratio between the temperature of the shooting condition and the temperature of the acquisition condition, an exposure time ratio that is a ratio of the exposure time of the shooting condition and the exposure time of the acquisition condition, and the gain of the shooting condition and the gain of the acquisition condition The gain ratio, which is the ratio of. Then, the temperature ratio, the exposure time ratio, and the gain ratio are multiplied. The value thus obtained is set as an adjustment coefficient k1. Next, the adjustment coefficient k2 is calculated using the shooting condition of the shot image and the acquisition condition of the noise image 2. More specifically, since the noise image 2 mainly includes the noise b, the adjustment coefficient k2 is obtained using the gain that causes the noise b. That is, a gain ratio that is a ratio between the gain of the shooting condition and the gain of the acquisition condition is obtained. The gain ratio is set as an adjustment coefficient k2.

If the pixel data of the noise image 1 is D1, the pixel data of the noise image 2 is D2, the noise amount of the noise a is a, and the noise amount of the noise b is b, D1 and D2 are expressed by the following equations.
D1 = a + b
D2 = b
Here, it is considered that the noise image 1 includes noises a and b, the noise image 2 includes noise b, and the pixel data D3 of the captured image includes noises a and b. Here, it is assumed that the amount of noise b included in the noise image 1 and the noise image 2 is equal. Accordingly, consider subtracting the pixel data D1 multiplied by the adjustment coefficient k1 from the pixel data D3. In this case, the pixel data D4 of the image whose noise has been corrected is expressed by the following equation.
D4 = D3-k1 · D1
Here, an image obtained by multiplying the pixel data D1 of the noise image 1 by the adjustment coefficient k1 is referred to as an adjustment noise image 1 (k1 · D1), and an image obtained by multiplying the pixel data D3 of the captured image by the adjustment coefficient k3 is adjusted. Let it be a noise image 2 (k3 · D3). However, when the adjustment coefficient k1 and the adjustment coefficient k2 are equal, that is, when the amount of the noise b included in the adjustment noise image 1 is equal to the amount of the noise b included in the adjustment noise image 2, the noise b is excessive. Although it can be subtracted from the pixel data D3 without shortage, when the adjustment coefficient k1 is smaller than the adjustment coefficient k2, that is, the amount of noise b included in the adjustment noise image 1 is larger than the amount of noise b included in the adjustment noise image 2. If the amount of noise b is too small, the noise b cannot be completely reduced from the pixel data D3, or if it is larger than the adjustment coefficient k1 and the adjustment coefficient k2, that is, the amount of the noise b included in the adjustment noise image 1 is adjusted. When the amount of noise b included in the noise image 2 is larger than the amount of noise b, the noise b is excessively reduced from the pixel data D3. Therefore, using the adjustment coefficient k3 obtained by subtracting the adjustment coefficient k1 from the adjustment coefficient k2, the noises a and b are corrected as in the following equation.
D4 = D3-k1, D1-k3, D2 (Formula 1)
Here, k3 = k2-k1.

  In Expression 1, an image obtained by adding the adjustment noise image 1 and the adjustment noise image 2 subtracted from D3, that is, an image having pixel data of k1, D1, k3, and D2, is defined as a final adjustment noise image.

  Test for Equation 1. The captured image includes data D0 that does not include noise, noise a, and noise b, and the amount of noise a and b included in the captured image is an adjustment factor k1 to the amount of noise a and b included in D1 and D2. And k2 are respectively multiplied, and D3 is expressed as follows.

D3 = D0 + k1 · a + k2 · b (Formula 2)
Substituting Equation 2 into Equation 1 yields the following equation:

D4 = (D0 + k1 · a + k2 · b) −k1 · D1−k3 · D2
Since D1 = a + b and D2 = b as described above,
D4 = D0
It is. Therefore, it was shown that Formula 1 is correct.

  If the first correction process is used, the noises a and b can be accurately removed from the captured image.

  In the first correction process, it has been described that the noise c can be ignored. However, if the noise b can be ignored instead of the noise c, the noises a and c can be accurately removed from the captured image. .

  Next, a second correction process for correcting noise c included in the captured image using the captured image will be described.

  First, the system control circuit 300 causes the imaging CMOS 22 to capture a subject image using an arbitrary imaging condition to obtain a captured image. This captured image includes noises a, b, and c. Next, an adjustment coefficient is calculated using the shooting conditions. More specifically, the ROM 36 stores in advance a look-up table indicating the relationship between temperature and noise c. Therefore, the noise c included in the captured image is obtained using the look-up table and the temperature included in the capturing condition, and is subtracted from the captured image.

  If the second correction process is used, the noise c can be removed from the captured image.

  In the second correction process, it is also possible to calculate the adjustment coefficient of the noise c by referring to the light-shielding region of the captured image and calculating a linear function noise correction formula in the vertical direction.

  Next, a description will be given of a third correction process for correcting noises a, b, and c included in a captured image by using the first correction process and the second correction process together.

First, the system control circuit 300 causes the imaging CMOS 22 to capture a subject image using an arbitrary imaging condition to obtain a captured image. This captured image includes noises a, b, and c. Next, the first correction process described above is executed to remove noises a and b from the captured image (see Equation 1).
At this time, since the noise image 1 and the noise image 2 include the noises a, b, and c, the degree of correcting the noise in the second correction processing is weakened according to the coefficient used to remove the noises a and b. There is a need. Assuming that the adjustment coefficient that weakens the degree of correcting the noise c is k4, k4 is obtained by the following equation.
k4 = k1 + k3
Here, let X be the amount of noise c obtained by executing the second correction process. Then, the pixel data D4 of the image whose noise has been corrected is calculated by the following equation.
D4 = D3-k1, D1-K3, D2- (X-k4, c)

  Thereby, noises a, b, and c can be removed from the captured image.

  In the second correction process, when the correction amount of the noise c is calculated by referring to the light-shielding region of the photographed image and calculating the noise correction formula of the linear function in the vertical direction, the temperature is added to the slope of the linear function. By multiplying by the coefficient, it is possible to correct the noise correctly. Further, in the third correction process, an adjustment coefficient for reducing the degree of correcting the noise c is calculated from the ratio between the temperature at the time of acquisition of the noise image 1 and the noise image 2 and the temperature at the time of shooting of the shot image, Correction can also be performed by multiplying the slope of the linear function.

  Next, the correction condition selection process will be described with reference to FIG. The correction condition selection process is a process executed by the system control circuit 300, and is executed when the system control circuit 300 acquires a captured image.

  In the first step S401, it is determined whether or not the shooting condition matches the correction condition for the noise a. The correction condition for the noise a includes whether the temperature of the imaging CMOS 22 is equal to or higher than a predetermined temperature, whether the exposure time is equal to or longer than a predetermined period, and whether the gain is equal to or higher than a predetermined value. If the shooting condition matches the correction condition for noise a, the process proceeds to step S402; otherwise, the process proceeds to step S405.

  In step S402, it is determined whether or not the shooting condition matches the correction condition for noise c. The correction condition for the noise c includes whether the temperature of the imaging CMOS 22 is equal to or higher than a predetermined temperature. If the shooting condition matches the correction condition for noise c, the process proceeds to step S403; otherwise, the process proceeds to step S404.

  In step S403, a third correction process is executed to correct noises a, b, and c in the captured image. Thereby, noises a, b, and c are removed from the captured image. Then, the process ends.

  On the other hand, in step S404, a first correction process is executed to correct the noises a and b in the captured image. Thereby, noises a and b are removed from the captured image. Then, the process ends.

  In step S405, it is determined whether or not the shooting condition matches the correction condition for noise b. The correction condition for the noise b includes whether the gain is a predetermined value or more. If the shooting condition matches the correction condition for noise b, the process proceeds to step S406; otherwise, the process proceeds to step S409.

  In step S406, it is determined whether or not the shooting condition matches the correction condition for noise c. The correction condition for the noise c includes whether the temperature of the imaging CMOS 22 is equal to or higher than a predetermined temperature. If the shooting condition matches the correction condition for noise c, the process proceeds to step S407. If the shooting condition does not match, the process proceeds to step S408.

  In step S407, the third correction process is executed using only the noise image 2 in order to correct the noises b and c in the captured image. Thereby, noises b and c are removed from the captured image. Then, the process ends.

  On the other hand, in step S408, the first correction process is executed using only the noise image 2 in order to correct the noise b in the captured image. Thereby, noise b is removed from the captured image. Then, the process ends.

  In step S409, it is determined whether or not the shooting condition matches the correction condition for noise c. The correction condition for the noise c includes whether the temperature of the imaging CMOS 22 is equal to or higher than a predetermined temperature. If the shooting condition matches the correction condition for noise c, the process proceeds to step S410; otherwise, the process proceeds to step S411.

  In step S410, a second correction process is executed to correct the noise c in the captured image. Thereby, the noise c is removed from the captured image. Then, the process ends.

  On the other hand, in step S411, no correction is performed and the process is terminated.

  Next, the first correction process will be described with reference to FIG. The first correction process is a process executed by the system control circuit 300 in the correction condition selection process.

  In the first step S51, a temperature ratio that is a ratio between the temperature of the shooting condition and the temperature of the acquisition condition, an exposure time ratio that is a ratio of the exposure time of the shooting condition and the exposure time of the acquisition condition, and the gain and acquisition of the shooting condition. A gain ratio, which is a ratio to the condition gain, is obtained and multiplied by the temperature ratio, the exposure time ratio, and the gain ratio. The value thus obtained is set as an adjustment coefficient k1.

  In the next step S52, a gain ratio, which is a ratio between the gain of the imaging condition and the gain of the acquisition condition, is obtained as an adjustment coefficient k2, and the adjustment coefficient k3 is calculated by subtracting the adjustment coefficient k1 from the adjustment coefficient k2.

  In the next step S53, an adjusted noise image having pixel data of k1, D1, k3, and D2 is created using the above-described method.

  In the next step S54, the adjustment noise image is subtracted from the pixel data D3 of the photographed image.

  In the next step S55, predetermined image processing is executed on the image obtained in step S54.

  In the next step S56, the image obtained in step S55 is output to the display unit or the memory card 40. Then, the process ends.

  If the first correction process is used, the noises a and b can be accurately removed from the captured image.

  Next, the second correction process will be described with reference to FIG. The second correction process is a process executed by the system control circuit 300 in the correction condition selection process.

  In the first step S61, the noise c included in the captured image is obtained using the look-up table and the temperature included in the capturing condition, and is subtracted from the captured image.

  In the next step S62, predetermined image processing is executed on the image obtained in step S61.

  In the next step S63, the image obtained in step S62 is output to the display unit or the memory card 40. Then, the process ends.

  If the second correction process is used, the noise c can be removed from the captured image.

  Next, the third correction process will be described with reference to FIG. The third correction process is a process executed by the system control circuit 300 in the correction condition selection process.

  Next, a third correction process for correcting the noise c included in the captured image using the noise image 1 will be described.

  In the first step S71, the processes from the steps S51 to S53 of the first correction process are executed to create an adjustment noise image.

  In the next step S72, the adjustment noise image is subtracted from the pixel data D3 of the photographed image.

  In the next step S73, the adjustment coefficient k4 is obtained using the adjustment coefficient multiplied by the noise image 1 and the noise image 2.

  In the next step S74, the pixel data D4 of the image whose noise has been corrected is calculated using the adjustment coefficient k4.

  In the next step S75, predetermined image processing is executed on the image obtained in step S74.

  In the next step S76, the image obtained in step S75 is output to the display unit 33 or the memory card 40. Then, the process ends.

  By using the third correction process, noises a, b, and c can be removed from the captured image.

  According to the present embodiment, it is possible to appropriately correct noise included in a captured image.

  For the sake of simplicity of explanation, the entire pixel data has been described as an object, but an acquisition condition may be set for each line and stored in the storage unit to obtain an adjustment coefficient. In this case, the line may be horizontal or vertical.

  Further, when the adjustment coefficient is small, the adjustment coefficient may be regarded as 0 and the above calculation may be performed. The amount of calculation can be reduced.

  Further, an approximate expression may be used instead of the adjustment coefficient, and a gamma or a lookup table may be used.

  Further, the arrangement of the color filters included in the imaging CMOS 22 is not limited to the above.

  Further, the digital camera 10 may take a noise image and store it in the ROM 36 together with the acquisition conditions. At this time, the system control circuit 300 forms a noise image creation unit. There is no need to prepare a noise image in advance. In addition, a noise image can be created according to deterioration with time of the imaging apparatus.

DESCRIPTION OF SYMBOLS 10 Digital camera 12 Main body 14 Interchangeable lens 15 Imaging optical system 16 Penta prism 17 Finder screen 18 Main mirror 19 Sub mirror 20 Shutter 21 Eyepiece 22 Imaging CMOS
23 Photometric sensor 24 AF module 25 Signal processing circuit 32 Peripheral control circuit 33 Display unit 35 AF motor 36 ROM
40 memory card 41 release button 300 system control circuit

Claims (7)

A storage unit for storing a plurality of noise images created for each of a plurality of acquisition conditions;
An image sensor that captures a subject image using shooting conditions and outputs the captured image;
A noise correction unit that adjusts the plurality of noise images using the plurality of acquisition conditions and the photographing conditions to create an adjustment noise image, and corrects noise included in the photographed image using the adjustment noise image; An imaging apparatus comprising:   The acquisition condition has a plurality of dependence conditions, and the noise correction unit calculates an adjustment coefficient based on the plurality of dependence conditions, and adjusts the noise image according to the adjustment coefficient, thereby adjusting the noise image. The imaging device according to claim 1, wherein the imaging device is created.   The noise correction unit calculates an adjustment coefficient for adjusting the noise image based on the acquisition condition and the shooting condition, and creates the adjustment noise image by adjusting the noise image according to the adjustment coefficient. The imaging device according to claim 1 or 2.   The imaging device according to claim 1, wherein the storage unit stores a plurality of the acquisition conditions and a plurality of the noise images created for each of the acquisition conditions.   The imaging device according to claim 1, wherein the noise image and the captured image have pixel data including a plurality of rows, and the storage unit stores the acquisition condition for each row.   The imaging apparatus according to claim 1, further comprising a noise image creation unit that creates the noise image under a predetermined acquisition condition. An image sensor that captures a subject image using predetermined shooting conditions and outputs a captured image;
Reading a noise image created under a predetermined acquisition condition from the storage unit;
A noise correction unit adjusting the noise image using the acquisition condition and the shooting condition to create an adjusted noise image;
A noise correction method comprising: a noise correction unit correcting a noise included in the photographed image using the adjusted noise image.

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