WO2016002260A1

WO2016002260A1 - Image processing device, image processing method, and image processing program

Info

Publication number: WO2016002260A1
Application number: PCT/JP2015/057495
Authority: WO
Inventors: 堀内　一仁
Original assignee: オリンパス株式会社
Priority date: 2014-07-03
Filing date: 2015-03-13
Publication date: 2016-01-07
Also published as: JP2016015685A

Abstract

In order to suppress the influence of noise fluctuations caused by an image correction based on the characteristic of an imaging optical system and generate a high-quality image, provided is an image processing device which is applied to an imaging device for acquiring an image by capturing an optical image of a subject, the optical image being formed by an imaging optical system, and is provided with: an input means which inputs the image acquired by the imaging device and optical characteristic information relating to the characteristic of the imaging optical system; an image correction means which corrects the image on the basis of the optical characteristic information; a basic noise reduction information storage means which previously stores basic noise reduction information indicating a noise amount with respect to a brightness value; a noise reduction information updating means which updates the basic noise reduction information so as to suppress fluctuations in noise amount caused by the correction of the image by the image correction means on the basis of an imaging condition when the image has been acquired and the optical characteristic information; and a noise reduction means which performs noise reduction processing of the image on the basis of the noise reduction information updated by the noise reduction information updating means.

Description

Image processing apparatus, image processing method, and image processing program

The present invention relates to an image processing apparatus, an image processing method, and an image processing program, and more particularly to an image processing apparatus, an image processing method, and an image processing program that perform image processing in view of an imaging optical system that captures an image to be processed.

Conventionally, an image processing apparatus that reduces noise of a captured image is known. For example, in Patent Document 1, noise is reduced based on an aberration correction amount (optical distortion, peripheral light loss, etc.) due to the performance of a lens (imaging optical system) that captures an image. That is, in Patent Document 1, a noise suppression level that is a basis for noise reduction is determined based on the aberration correction amount, and when the target pixel is a flat region, the noise suppression level is increased with reference to the aberration correction amount. Noise reduction is performed, and noise reduction is not performed when the target pixel is an edge.

JP 2006-295807 A

By the way, in general, noise has a characteristic that the amount and the factor of the generated noise vary depending on the luminance value (brightness) of the pixel.
However, in Patent Document 1 described above, the luminance value of each pixel is not taken into consideration when noise is reduced. For this reason, even with pixels that have the same noise suppression number and flatness, there is a difference in the noise reduction effect depending on the luminance value.For example, while the noise of dark and flat pixels is reduced, the noise of bright and flat pixels May remain. In Patent Document 1, noise reduction is not performed when the pixel to be processed is an edge. However, depending on the pixel, the edge portion may be emphasized by aberration correction while noise at the edge portion remains. And the surrounding area becomes unnatural, and as a result, the image quality deteriorates.

The present invention has been made in view of the above-described circumstances, and suppresses the influence of noise fluctuation caused by characteristics of an imaging system including an imaging optical system, an imaging element, and the like, and generates a high-quality image. The purpose is to do.

In order to achieve the above object, the present invention provides the following means.
One embodiment of the present invention is applied to an imaging device that captures an optical image of a subject imaged by an imaging optical system to obtain an image, and an image related to an image acquired by the imaging device and characteristics of the imaging optical system. Input means for inputting characteristic information; image correcting means for correcting the image based on the optical characteristic information; basic noise reduction information storage means for storing basic noise reduction information indicating a noise amount with respect to a luminance value; Noise that updates the basic noise reduction information so as to suppress fluctuations in the amount of noise caused by correction of the image by the image correction unit, based on the shooting conditions when the image is acquired and the optical characteristic information Reduction information update means, noise reduction means for performing noise reduction processing of the image based on the noise reduction information updated by the noise reduction information update means, An image processing apparatus comprising.

According to this aspect, noise reduction processing is performed on an image input from the imaging apparatus, and image correction is performed based on optical characteristic information regarding the characteristics of the imaging optical system in the imaging apparatus. In this case, the basic noise reduction information indicating the amount of noise with respect to the luminance value stored in advance in the basic noise reduction information storage means is based on the shooting conditions and optical characteristic information when the image is acquired by the imaging device. The noise reduction process is performed by the noise reduction unit using the updated noise reduction information updated by the update unit. The basic noise reduction information is updated based on the shooting conditions and optical characteristic information so as to suppress fluctuations in the amount of noise caused by image correction by the image correction means. Even in this case, it is possible to effectively reduce noise with respect to fluctuating noise such as increase. That is, it is possible to suppress the influence of noise fluctuation caused by the characteristics of the imaging optical system and generate a high-quality image.

In the above aspect, it is preferable that the basic noise reduction information storage unit stores a plurality of basic noise reduction information for each frequency component.
In this way, noise reduction information can be applied according to the state of noise that differs for each frequency component, so that noise reduction processing based on optimum noise reduction information can be performed according to the frequency component. .

In the above-described aspect, it is preferable that the optical characteristic information is generated based on an optical transfer function obtained by evaluating the optical performance of the imaging optical system with a frequency characteristic.
In this way, it is possible to appropriately perform image correction based on the optical performance of the imaging optical system and update the noise reduction information so as to effectively suppress fluctuations in the noise amount due to image correction.

In the above aspect, it is preferable that the optical characteristic information is generated according to a position on the image.
In this way, for example, even for aberrations that vary depending on the position on the image, such as distortion, distortion correction (distortion) is appropriately corrected by holding information regarding distortion as optical characteristic information and image correction. The noise reduction information can be updated so as to effectively suppress the fluctuation of the noise amount due to.

In the above-described aspect, it is preferable that the imaging conditions include at least one condition among F value, focal length, and ISO sensitivity.
In this way, in view of shooting conditions that affect the image quality of the image, the noise reduction information can be updated to effectively suppress fluctuations in the noise amount.

In the aspect described above, it is preferable that the image correction unit corrects blur of the image.
By doing so, for example, the blur due to aberration such as spherical aberration and the blur due to diffraction are appropriately corrected, and the noise reduction information is updated so as to effectively reduce the amount of noise increased by the correction. Can do.

According to another aspect of the present invention, a step of inputting an image acquired by an imaging device and optical characteristic information relating to characteristics of an imaging optical system provided in the imaging device, and correcting the image based on the optical characteristic information. A step of acquiring basic noise reduction information indicating a noise amount with respect to a luminance value, and a noise amount generated by correction of the image based on a photographing condition and the optical characteristic information when the image is acquired. An image processing method comprising: updating the basic noise reduction information so as to suppress fluctuations; and performing noise reduction processing of the image based on the updated noise reduction information.

Further, according to another aspect of the present invention, a step of inputting an image acquired by an imaging device and optical characteristic information relating to characteristics of an imaging optical system included in the imaging device, and correcting the image based on the optical characteristic information are provided. A step of acquiring basic noise reduction information indicating a noise amount with respect to a luminance value, and a noise amount generated by correction of the image based on a photographing condition and the optical characteristic information when the image is acquired. An image processing program for causing a computer to execute a step of updating the basic noise reduction information and a step of performing noise reduction processing of the image based on the updated noise reduction information so as to suppress fluctuations.

According to the present invention, it is possible to suppress the influence of noise fluctuation caused by the characteristics of the imaging system and to produce an image with high image quality.

1 is a block diagram illustrating a schematic configuration of an imaging apparatus to which an image processing apparatus according to a first embodiment of the present invention is applied. It is a figure which shows the gain characteristic which correct | amends the MTF characteristic of the imaging optical system as optical characteristic information. It is a reference figure which shows the mode of the blur correction | amendment resulting from a diffraction, especially the mode before correction | amendment. It is a reference figure which shows the mode of the blur correction | amendment resulting from a diffraction, and shows the mode after correction | amendment especially. It is a figure which shows the MTF characteristic of the imaging optical system before and behind blur correction. It is a figure which shows the example of basic noise reduction information. It is a figure which shows the example at the time of updating basic noise reduction information based on the frequency information of a MTF characteristic. It is a schematic block diagram of the noise reduction process part in the image processing apparatus of FIG. It is a flowchart which shows the effect | action of the image processing apparatus which concerns on the 1st Embodiment of this invention. The difference image information generation before and after image correction in the case of correcting distortion aberration which is one of aberrations is shown.

(First embodiment)
The image processing apparatus according to the first embodiment of the present invention will be described below with reference to the drawings.
The image processing apparatus 1 according to the present embodiment is applied to an imaging unit 9 that acquires an image by capturing an optical image of a subject formed by an imaging optical system, and captures an image acquired by the imaging unit 9. This is an apparatus that performs image processing such as image correction and noise reduction based on optical characteristics (which depends on the imaging optical system and the imaging element) that the unit 9 can have.
Note that the image processing apparatus according to the present embodiment may be configured to mount each unit constituting the image processing apparatus as one chip, or may be configured to be divided and mounted on a wiring board.

As shown in FIG. 1, the image processing apparatus 1 includes a shooting condition setting unit 11 that sets image shooting conditions in the imaging unit 9, an input unit 12, a preprocessing unit 13, an image correction unit 14, and a basic noise reduction information storage unit. 15, a noise reduction information update unit 16, a noise reduction processing unit 17, an output image configuration unit 18, and a processing control unit 19 that controls these units.
Of the arrows connecting the components in FIG. 1, solid lines indicate input / output of image information, and broken lines indicate input / output of information related to control and settings.

The imaging condition setting unit 11 sets imaging conditions when an image is acquired by the imaging unit 9. That is, the shooting condition setting unit 11 sets, for example, an F value, focal length, ISO sensitivity, shutter speed, and the like as shooting conditions, and the set shooting conditions are imaged via the input unit 12 by the processing control unit 19 described later. To the unit 9.

The input unit 12 inputs an image acquired by the imaging unit 9 and optical characteristic information that is information regarding characteristics of the imaging optical system and the imaging element stored in the storage unit 7 provided in the imaging optical system 8 of the imaging unit 9. These are temporarily stored. The image temporarily stored in the input unit 12 is output to the preprocessing unit 13.

The optical characteristic information is configured by information indicating aberration and optical performance of the imaging optical system, the pixel size of the imaging element, and the like. Examples of the aberration include those that affect the image quality of the image such as lateral chromatic aberration, axial chromatic aberration, distortion, and shading. It is positioned as information for correcting aberration as optical characteristic information regarding aberration. For example, the color misregistration amount of the pixel for each color in the chromatic aberration of magnification, the image misregistration amount in the distortion aberration, the light amount difference for each position (screen position) on the image in shading, and the like. Further, information representing optical performance includes MTF (Modulation Transfer Function), which is expressed by an absolute value component of an optical transfer function (OTF) and evaluates the reproducibility of the contrast of a subject with frequency characteristics.

In the present embodiment, as an example of image correction, a case of correcting blur caused by light diffraction generated in an imaging system will be described. Therefore, it is assumed that the gain characteristic (see FIG. 2) of the MTF used for blur correction is stored in the storage unit 7 provided in the imaging optical system 8 as optical characteristic information (details will be described later). The gain characteristic shown in FIG. 2 shows a gain that is larger as the frequency is closer to the Nyquist frequency in order to improve the contrast of the spatial frequency close to the Nyquist frequency.

The preprocessing unit 13 includes an optical black (OB) correction and a white balance (WB) correction as preprocessing for the image input to the input unit 12, and a color filter (not shown) provided in the imaging unit 9. In the case of a single plate, color information interpolation (demosaicing) and the like are performed, and the processed image is output to the image correction unit 14.

The image correction unit 14 performs correction processing on the image processed by the preprocessing unit 13 based on the optical characteristic information of the imaging unit 9 acquired through the input unit 12. That is, an aberration correction process (for distortion aberration, distortion correction, and shading) is performed on the image processed by the preprocessing unit 13 so as to correct the aberration caused by the optical characteristics of the imaging unit 9. If necessary, shading correction or the like) or blur recovery processing for recovering blur caused by diffraction is performed, and the corrected image is output to the noise reduction processing unit 17.

As an example of image correction, FIG. 3 shows the state before and after the blur correction, and FIG. 4 shows the change in the MTF characteristic before and after the blur correction when correcting blur caused by diffraction. 3A shows a state before blur correction, and FIG. 3B shows a state after blur correction. In FIG. 4, the horizontal axis represents frequency (Nyquist frequency is normalized to 1), and the vertical axis represents MTF value (MTF maximum value is normalized to 1). The greater the MTF value, the higher the contrast. By performing blur correction compared to the MTF characteristic before blur correction, the contrast is increased.

The basic noise reduction information storage unit 15 indicates the noise amount with respect to the luminance value, that is, the basic noise reduction information indicating the relationship between the light amount (image luminance value) output from the image sensor and the noise amount (standard deviation of the luminance value). Is stored in advance. For example, as shown in FIG. 5, a plurality of pieces of basic noise reduction information are stored for each ISO sensitivity. The basic noise reduction information is stored for each frequency component.

As shown in FIG. 5, the basic noise reduction information is such that the amount of noise increases monotonically as the amount of light increases (the luminance increases). The basic noise reduction information has different characteristics for each ISO sensitivity, and has a characteristic that the amount of noise with respect to the same light amount increases as the ISO sensitivity becomes higher (higher sensitivity). By holding the basic noise reduction information for each ISO sensitivity, use the characteristic that the amount of noise varies depending on the brightness and sensitivity, and evenly reduce noise of various brightness according to changes in ISO sensitivity Is possible.

The noise reduction information update unit 16 controls the basic noise reduction information storage unit 15 so as to suppress fluctuations in the amount of noise caused by performing image correction based on the shooting conditions and optical characteristic information when the image is acquired. The basic noise reduction information stored in is updated. That is, the basic noise reduction information stored in the basic noise reduction information storage unit 15 is acquired and the basic noise reduction information is updated based on the imaging condition and optical characteristic information acquired from the processing control unit 19.

That is, the noise reduction information update unit 16 extracts basic noise reduction information that matches the shooting conditions acquired from the processing control unit 19 from among the plurality of basic noise reduction information stored in the basic noise reduction information storage unit 15. The extracted basic noise reduction information is updated based on the optical characteristic information acquired through the processing control unit 19.

The update process in the noise reduction information updating unit 16 can be configured to calculate noise fluctuation characteristics and update the basic noise reduction information based on the calculated fluctuation characteristics. If noise fluctuation characteristics are stored in advance as optical characteristic information, the basic fluctuation reduction information is updated by applying the stored fluctuation characteristics. The updated noise reduction information is sent to the noise reduction processing unit 17 together with the image information after the image correction.
When blur correction due to diffraction is performed as image correction, the gain characteristic shown in FIG. 2 (gain larger as the frequency is closer to the Nyquist frequency) as optical characteristic information is applied to the MTF characteristic before correction (see the broken line in FIG. 4). Thus, the MTF characteristic after blur correction (see the solid line in FIG. 4) is obtained.

That is, since the gain characteristic (FIG. 2) as the optical characteristic information improves the contrast of the spatial frequency close to the Nyquist frequency, as shown in FIG. 3B, the sense of resolution around the thin line after blur correction is as shown in FIG. On the other hand, noise consisting of high-frequency components existing in the background increases. In order to reduce the noise increased by the blur correction under such a situation, the basic noise reduction information is changed by using the gain characteristic shown in FIG.

FIG. 6 shows noise reduction information obtained by changing the basic noise reduction information for each frequency of the MTF characteristic based on the gain characteristic of FIG. 2 as optical characteristic information. The updated noise reduction information in FIG. 6 is represented as noise reduction information by multiplying the basic noise reduction information by a gain characteristic corresponding to the frequency. In the gain characteristic of FIG. 2, since the effect of the blur correction is small in the region where the frequency component as a ratio to the Nyquist frequency is small (= low frequency component), the gain is slightly over 1.0. There is not much difference from the basic noise reduction information before update. On the other hand, in the region where the frequency component is large (= high frequency component), the effect of blur correction appears remarkably, so that the gain increases and the noise reduction information consisting of the relationship between luminance and noise also increases. This is because even in the same luminance, the noise generation state differs depending on the frequency component, and it is necessary to perform different noise reduction processing depending on the frequency component.

The noise reduction processing unit 17 performs noise reduction processing on the image corrected based on the updated noise reduction information. More specifically, for example, as shown in FIG. 7, the noise reduction processing unit 17 includes three-

stage filtering units

101, 111, and 121, and the reduced image created by the preceding filtering unit is used as the subsequent filtering unit. By inputting, reduced images having different resolutions are sequentially created from the input image, and noise reduction is performed on each reduced image. That is, based on the noise reduction information for each frequency, the image is decomposed into frequency bands, and noise reduction processing is performed for each frequency band. In addition to the creation of a reduced image by filtering by the filtering unit, for example, a process using a low-pass filter may be performed without performing a reduction process.

In the subsequent stage of each

filtering unit

101, 111, 121, an

enlargement processing unit

102, 112, 122 and a

subtraction unit

103, 113, 123 are provided corresponding to each filtering unit. In addition,

noise reduction units

104, 114, and 124 and

addition units

106, 116, and 126 are provided in the subsequent stages of the

subtraction units

103, 113, and 123, respectively.

The image input to the noise reduction processing unit 17 is reduced after the low-pass filter processing in the filtering unit 101. The reduced image is output to the filtering unit 111 at the next stage and is also output to the enlargement processing unit 102. The subtraction unit 103 performs a subtraction process on the image before the processing, and the subtraction image is processed. The noise reduction unit 104 performs noise reduction processing.

The same processing is performed in the

subsequent filtering units

111 and 121, the

enlargement processing units

112 and 122, the

subtraction units

113 and 123, the

noise reduction units

114 and 124, and the image after each processing is added to the

addition units

126, 116, and 106. Are added to the subsequent image enlarged by the

enlargement processing units

125, 115, and 105, and the output from the addition unit 106 is output as an image after the final noise reduction processing.
In the present embodiment, the image correction based on the optical characteristics is performed prior to the noise reduction process. However, the present invention is not limited to this, and the image correction may be performed after the noise reduction process.

The output image construction unit 18 performs image enhancement processing such as edge enhancement and color enhancement as post-processing on the noise-reduced image, and adds information (eg, Exif data) for making an output image. A final output image is generated and output by performing a conversion process (for example, JPEG conversion) by the output format.

The processing control unit 19 manages and controls processing of each unit constituting the image processing apparatus 1. Specifically, processing instructions and information necessary for processing are transmitted to and received from the imaging condition setting unit 11, the input unit 12, the image correction unit 14, the noise reduction information update unit 16, the noise reduction processing unit 17, and the output image configuration unit 18. Do.

Hereinafter, the operation of the image processing apparatus 1 configured as described above, that is, the noise reduction processing by the image processing apparatus 1 will be described with reference to the flowchart of FIG.
In step S <b> 101, shooting conditions in the imaging unit 9 are set by the shooting condition setting unit 11 via the processing control unit 19. Prior to image capturing, optical characteristic information is acquired from the storage unit 7 associated with the imaging optical system 8 of the imaging unit 9. In the next step S102, an imaging instruction is issued from the processing control unit 19 to the imaging unit 9, an image is acquired in the imaging unit 9, and the obtained image is preprocessed by the preprocessing unit 13 via the input unit 12. I do.

In step S103, the image correction unit 14 corrects the pre-processed image based on the shooting conditions and the optical characteristic information acquired via the processing control unit 19. In the present embodiment, blur caused by diffraction is corrected as image correction. Since diffraction blur is mainly caused by the F value of the optical system, the correction is controlled according to the F value. The MTF characteristics before and after blur correction are as shown in FIG.

In the next step S104, basic noise reduction information is acquired. That is, the noise reduction information update unit 16 extracts and acquires basic noise reduction information corresponding to the shooting conditions from a plurality of basic noise reduction information (FIG. 5) stored in the basic noise reduction information storage unit 15. As described above, the basic noise reduction information is stored for each ISO sensitivity, and the basic noise reduction information corresponding to the ISO sensitivity of the shooting condition is acquired.

In step S105, the noise reduction information updating unit 16 updates the noise reduction information by applying the gain characteristic (FIG. 2) as the optical characteristic information to the acquired basic noise reduction information, and obtains new noise reduction information. Generate. In step S106, the noise reduction processing unit 17 performs noise reduction processing on the corrected image based on the optical characteristics using the updated new noise reduction information. Here, since noise reduction processing depending on the imaging system is performed, noise reduction suitable for the imaging system is achieved. In step S107, the output image construction unit 18 performs post-processing such as image enhancement, reconstructs the image into an output format, generates an output image, and outputs the generated image.

As described above, according to the present embodiment, when the basic noise reduction information indicating the noise amount with respect to the luminance value stored in advance in the basic noise reduction information storage unit is updated by the noise reduction information update unit, an image is acquired. Since the update is performed based on the shooting conditions and the optical characteristic information, noise reduction considering the optical characteristics can be performed by noise reduction using the updated noise reduction information. In other words, the basic noise reduction information is updated based on the shooting conditions and optical characteristic information so as to suppress the fluctuation of the noise amount caused by the correction of the image. However, noise can be effectively reduced. Therefore, it is possible to suppress the influence of noise fluctuation caused by correction based on the characteristics of the imaging optical system and generate a high-quality image.

(Modification 1)
FIG. 9 shows generation of difference image information before and after image correction. As shown in FIG. 9, distortion (distortion) occurs in the pre-correction image. By correcting this by the image correcting unit 14, an image without distortion is obtained.

Therefore, in this modification, the change before and after the image correction is examined, and the optical characteristic information is generated in the processing control unit 19 based on the luminance and position of the portion where the change in the image occurs.
In other words, the optical characteristic information depends on the position changing before and after correcting the distortion of the image and its luminance value. Since the distortion correction position mainly depends on the imaging optical system, information on the position on the image acquired by the imaging unit 9 is stored in the storage unit 7 in advance, for example, before the optical characteristic information is generated. The part 19 should just acquire.

Also in this modification, the noise state of the original image also changes due to the change in the brightness value (the noise increases as the brightness increases, etc.), so the brightness is reduced with respect to the basic noise reduction information corresponding to the brightness value. The basic noise reduction information is updated only for the changing position, and the noise reduction information is updated so as to perform noise reduction different from the normal noise reduction processing.
In this way, by updating the basic noise reduction information based on the optical characteristic information generated according to the position on the image, it is possible to perform noise reduction according to the position on the image, and to prevent distortion. The noise reduction which considered can be performed.

(Modification 2)
When the imaging optical system of the imaging unit 9 has a focal length variable mechanism and the focal length can be changed, the noise reduction information is updated as follows.
Although the MTF characteristics of the imaging optical system vary depending on the focal length, it is a reality that noise reduction information based on the MTF characteristics is stored in the basic noise reduction information storage unit 15 for all focal lengths covered by the imaging optical system. Not right. For this reason, basic noise reduction information regarding a plurality of focal lengths is stored in advance, and can be calculated by weighted interpolation of the stored basic noise reduction information as actual basic noise reduction information corresponding to the focal length. it can.

Specifically, the basic noise reduction information component at the focal point F0 is P0, and the basic noise reduction information component at the focal length F1 is P1. The basic noise reduction information component represents the relationship of noise to the predetermined luminance in FIG. It is assumed that the change in MTF characteristics between the focal lengths F0 to F1 maintains linearity.
A basic noise reduction information component P having a focal length F (F0 ≦ F ≦ F1) can be defined as follows.

As a result, even if the MTF characteristic and the noise characteristic associated with the correction due to the focal position change due to the change of the focal position, the noise reduction information can be appropriately generated, and the calculation of the noise reduction information according to the focal distance ( And noise reduction).

DESCRIPTION OF SYMBOLS 1 Image processing apparatus 9 Imaging part 11 Shooting condition setting part 12 Input part 13 Pre-processing part 14 Image correction part 15 Basic noise reduction information storage part 16 Noise reduction information update part 17 Noise reduction processing part 18 Output image structure part 19 Processing control part

Claims

Applied to an imaging device that captures an optical image of a subject imaged by an imaging optical system and acquires an image,
Input means for inputting the image acquired by the imaging apparatus and optical characteristic information relating to the characteristics of the imaging optical system;
Image correcting means for correcting the image based on the optical characteristic information;
Basic noise reduction information storage means for storing basic noise reduction information indicating a noise amount with respect to a luminance value in advance;
Noise that updates the basic noise reduction information so as to suppress fluctuations in the amount of noise caused by correction of the image by the image correction unit, based on the shooting conditions when the image is acquired and the optical characteristic information Reduction information update means,
An image processing apparatus comprising: noise reduction means for performing noise reduction processing on the image based on noise reduction information updated by the noise reduction information update means.
The image processing apparatus according to claim 1, wherein the basic noise reduction information storage means stores a plurality of basic noise reduction information for each frequency component.
3. The image processing apparatus according to claim 1, wherein the optical characteristic information is generated based on an optical transfer function obtained by evaluating optical performance of the imaging optical system with frequency characteristics.
The image processing apparatus according to claim 1, wherein the optical characteristic information is generated according to a position on the image.
The image processing apparatus according to any one of claims 1 to 4, wherein the photographing conditions include at least one of an F value, a focal length, and ISO sensitivity.
The image processing apparatus according to claim 1, wherein the image correction unit corrects blurring of the image.
Inputting an image acquired by the imaging apparatus and optical characteristic information relating to characteristics of an imaging optical system included in the imaging apparatus;
Correcting the image based on the optical property information;
Obtaining basic noise reduction information indicating a noise amount with respect to a luminance value;
Updating the basic noise reduction information so as to suppress fluctuations in the amount of noise caused by the correction of the image, based on the imaging conditions and the optical characteristic information when the image is acquired;
Performing an image noise reduction process on the basis of the updated noise reduction information.
Inputting an image acquired by the imaging apparatus and optical characteristic information relating to characteristics of an imaging optical system included in the imaging apparatus;
Correcting the image based on the optical property information;
Obtaining basic noise reduction information indicating a noise amount with respect to a luminance value;
Updating the basic noise reduction information so as to suppress fluctuations in the amount of noise caused by the correction of the image, based on the imaging conditions and the optical characteristic information when the image is acquired;
An image processing program for causing a computer to execute noise reduction processing of the image based on updated noise reduction information.