Canon Kabushiki Kaisha

Kazuhiro Yahata

Yoshitaka Sasaki

Koichi Fukuda

Masafumi Kimura

Koshi Hatakeyama

Tomohiro Nishiyama

Takuya Kotani

Norihito Hiasa

Shohei Tsutsumi

Atsushi Takahama

A non-local means method is insufficient in its noise reduction effect or edge retainability due to a perfect match between blocks in a case where a reference pixel matches a target pixel. Therefore, information on a target region and plural reference regions is obtained for the target pixel. Whether the target region matches any one of the reference regions is determined from the obtained information. Switching between weight derivation methods based on similarity between the target region and the reference region is performed according to a determined result.

Image processing apparatus, image processing method, and storage medium for reducing noise in a captured image

An image processing device that corrects an image captured by an imaging sensor is capable of setting an exposure condition for each of a plurality of regions and includes an acquisition unit configured to acquire the image by setting the exposure condition for each region in the imaging sensor, a derivation unit configured, regarding a boundary between a region of interest and at least one adjacent region adjacent to the region of interest in the image, to derive a correction amount in the region of interest based on pixel values of a boundary pixel group in contact with the boundary included in the region of interest and pixel values of a boundary pixel group in contact with the boundary included in the adjacent region, and a correction unit configured to correct pixel values of pixels in the region of interest based on the derived correction amount.

Image processing device, image capturing device, control method of image processing device, control method of image capturing device, and storage medium

An image processing apparatus configured to divide an image into frequency bands and reduce noise, in which a first image includes a high-band frequency component, and a second image includes a low-band frequency component, includes: a first detecting unit configured to detect an edge in at least one of the first image and the second image; a second detecting unit configured to detect a low-contrast edge that is of a lower contrast than a contrast of the edge detected by the first detecting unit in the at least one of the first image and the second image; a compositing unit configured to composite the first image and the second image using a weighting corresponding to the edge and the low-contrast edge.

Image processing apparatus and image processing method for noise reduction

An image processing apparatus includes a setting unit, a detection unit, a matrix calculation unit, a calculation unit, an obtaining unit, a deriving unit, a patch correction unit, and a generation unit. The setting unit sets a target patch in an input image. The detection unit detects a plurality of similar patches in the input image. The matrix calculation unit calculates a covariance matrix representing correlation between pixels based on the plurality of similar patches. The calculation unit calculates eigenvalues and eigenvectors of the covariance matrix. The obtaining unit obtains a noise amount in the input image. The deriving unit derives a correction matrix based on the eigenvalues, the eigenvectors, the noise amount, and the number of similar patches. The patch correction unit corrects values of pixels in the similar patches based on the correction matrix. The generation unit generates an output image by combining the corrected similar patches.

Image processing apparatus, image processing method, and storage medium

To generate a favorable image that suppresses the occurrence of pattern noise in a method of performing patch-based noise reduction for a RAW image. In order to attain this object, the image processing apparatus of the present invention includes a pixel setting unit; a patch setting unit; and a noise reduction unit. Then, the pixel setting unit sets, for one pixel of interest, at least two kinds of pixel whose positions are different in a minimum unit of the color filter array as the plurality of reference pixels. Further, the patch setting unit sets, for one pixel of interest, at least two kinds of reference patch whose shapes are different.

Image processing apparatus, image processing method and storage medium

An image processing apparatus includes a processing unit to perform noise reduction processing on image data and an output unit to output noise-reduced output image data. The processing unit determines a weight for a reference pixel based on a target area including a target pixel and a reference area including the reference pixel and sets, as a pixel value of the target pixel on which processed noise reduction processing has been executed, a value calculated using reference pixels and a weight corresponding to each of the reference pixels. The size of the target area equals to the size of the reference area. The output unit outputs, as the pixel value of the target pixel after noise reduction processing, either a first value, calculated when a first pixel group is set as the target area, or a second value, calculated when a second pixel group is set as the target area.

Image processing apparatus and image processing method that perform noise reduction processing on image data

An image processing apparatus processes image data. A first correction unit (i) corrects a pixel value of a target pixel in the image data based on a first similarity determined by comparing pixels included in a first target pixel group including the target pixel with pixels included in a first reference pixel group including a reference pixel, and (ii) produces a first corrected pixel value of the target pixel. A second correction unit (i) corrects the pixel value of the target pixel based on a second similarity determined by comparing pixels included in a second target pixel group including the target pixel with pixels included in a second reference pixel group including a reference pixel, and (ii) produces a second corrected pixel value. An output unit obtains corrected image data by using the first and second corrected pixel values based on the first similarity or the second similarity.

Image processing apparatus and image processing method

An image generation method is provided for generating an output image from an input image acquired by an image sensor that has an array of multiple pixels, each of which has arranged therein multiple sub-pixels that each receive a light beam that passes through a different pupil sub-area of an imaging optical system. The method includes a step of generating multiple parallax images that respectively correspond to the different pupil sub-areas; a step of generating multiple pixel shifted images by performing different shifting for each of the parallax images according to a virtual image forming plane of the imaging optical system; and a step of generating an output image that has a higher resolution than the resolution of the parallax images from the pixel shifted images through composition processing.

Image generation method, image generation apparatus, program, and storage medium

In a case where a weighted mean value is calculated by calculating weights according to a degree of similarity based on a target pixel, the mean value is affected by noise included in the target pixel. The mean value thereby converges at a value different from a true pixel value without noise and this appears as a remaining noise. To solve this problem, an output value of the target pixel is determined based on a correlation established among a weighted mean value of multiple reference pixels, a pixel value of the target pixel, and the true value of the target pixel.

Image processing apparatus and method to perform noise reduction on an image and determine an output pixel value

Noise in RAW image data is reduced by determining parameters including pixels used as a target area and reference pixels in the RAW image data, based on color filter information for the RAW image data. The RAW image data is corrected based on the parameters thus determined.

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Kunitachi, Japan

Kazuhiro Yahata