Olympus Corporation

Olympus Imaging Corporation

Osamu Koshiba

Aya Nakashima

Atsuro Okazawa

Kazuhito Horiuchi

Toshiki Miyano

Kota Mogami

A correlation value calculation device for selecting a pixel of interest within an image and a plurality of reference pixels within the image or a different image and calculating correlation values between a base block including the pixel of interest at a prescribed position and a plurality of reference blocks including each reference pixel at the prescribed position and having the same block size as the base block includes a block size determination unit, first intermediate correlation value calculation units configured to calculate correlation values in a plurality of types of block sizes, second intermediate correlation value calculation units configured to calculate correlation values in some block sizes among the plurality of types of block sizes, and a correlation value interpolation unit configured to obtain correlation values according to an interpolation.

Correlation value calculation device

A correlation value calculation device for calculating a correlation value between a base block within an image and at least one reference block within the image or other image includes a pixel value distribution calculation unit configured to calculate a pixel value distribution of pixels within the image and select a range of pixel values of a large number of pixels as a valid pixel value range, a conversion coefficient calculation unit configured to calculate conversion coefficients for converting pixels of the valid pixel value range into a prescribed bit-depth, and a pixel value conversion unit configured to perform a bit-depth reduction process on pixels within the base block and pixels within the reference block on the basis of the conversion coefficients.

An image processing device includes a computer that is configured to: detect edge-strength information expressing an edge strength in an acquired image; apply noise-reduction processing using spatial information to the image; apply noise-reduction processing using frequency information to the image; and composite a first processed image subjected to the noise-reduction processing using spatial information and a second processed image subjected to the noise-reduction processing using frequency information, by using weights in which a compositing ratio of the first processed image becomes higher than a compositing ratio of the second processed image, in a region where the edge strength, which is expressed by the detected edge-strength information, is greater than a predetermined threshold, and in which the compositing ratio of the second processed image becomes higher than the compositing ratio of the first processed image, in a region where the edge strength is less than the threshold.

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

A similarity calculation unit calculates a similarity between pixel values of a target pixel and a reference pixel and a similarity between the pixel value of the target pixel and an average value of pixel values of reference pixels, in an input image. A weighting factor calculation unit calculates weighting factors based on the calculated similarities. A weighted average value calculation unit calculates weighted average values of the pixel value of the reference pixel and the average value of the pixel values of the reference pixels by use of the calculated weighting factors. A subtraction unit calculates a difference value between the pixel values of the target pixel and the reference pixel. An isolation degree calculation unit calculates an isolation degree based on the calculated deference value. A correction unit corrects the target pixel based on the calculated isolation degree.

Image processing apparatus, image processing method, and non-transitory storage medium storing image processing program

An image processing apparatus includes a first pixel output variation detecting section, a second pixel output variation detecting section, and a pixel correcting section. The first pixel output variation detecting section detects a variation between pixel outputs of the phase difference detecting pixel and the imaging pixel of the same color as the phase difference detecting pixel. The second pixel output variation detecting section detects a variation in pixel output between imaging pixels positioned in vicinities of the phase difference detecting pixel and the imaging pixel used by the first pixel output variation detecting section. The pixel correcting section corrects the pixel output of each phase difference detecting pixel based on results of the first and second pixel output variation detecting sections.

Image processing apparatus, and method, and recording medium recording image processing program for processing output pixels utilized as phase difference detecting elements

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Chiba, Japan

Osamu Koshiba