Olympus Corporation

Takeshi Fukutomi

Atsuro Okazawa

Teruaki Yamasaki

Kosuke Kajimura

Hiroshi Sasaki

Eiji Furukawa

Ayako Asakura

An image acquisition apparatus includes an optical system including a lens and forming a subject image; an image acquisition device having an image acquisition surface on which the subject image is formed and acquiring a plurality of images; a shifting mechanism causing the device and system to relatively shift in a direction parallel to the surface; and a processor configured to: calculate a movement amount of the subject image on the surface; calculate a relative shift amount of the device and system on the basis of the calculated movement amount; and cause the device and system to relatively shift, between acquisitions of the plurality of images, by the calculated shift amount. The device acquires a plurality of pre-images before acquiring the plurality of images, and the processor is configured to calculate the movement amount of the subject image from a movement amount of the subject between the plurality of pre-images.

Image acquisition apparatus and camera body

An image processing apparatus includes one or more processors including hardware. The one or more processors are configured to: divide, regarding a plurality of images acquired by capturing images of an imaging subject over time, the respective images into a plurality of regions; calculate, for the respective divided regions, motion vectors by detecting movements of the imaging subject; detect luminances and contrasts of the respective regions and detect specific regions where the detected luminances and contrasts satisfy determination conditions, the determination conditions being that the luminances are equal to or greater than a first threshold and that the contrasts are equal to or less than a second threshold; select the motion vectors to be used by excluding the motion vectors of the detected specific regions from the calculated motion vectors; and generate a combined image by performing position alignment of the plurality of images by using the selected motion vectors.

Image processing apparatus for generating a combined image from plural captured images having been subjected to position alignment, and image processing method

An image processing apparatus includes a total pixel value calculator that sums pixel values by each color arranged in one direction and other direction, an occurrence start point detector that determines whether a pixel of interest is an axial chromatic aberration occurrence start point or not based on the calculation result or the pixel value of the pixel of interest and detects the start point, an area determining section that determines an area around the start point as an axial chromatic aberration area, a color space information calculator that calculates color space information, a color space difference calculator that calculates the difference of the color space information between the one direction and the other direction, a correction amount calculator that calculates the correction amount of axial chromatic aberration in accordance with the difference, and a corrector that corrects the axial chromatic aberration area.

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

Provided is an image-processing apparatus including: a total-pixel-value calculating portion that calculates sums of values of pixels arrayed in a first and second direction on either side of a pixel-of-interest; and an occurrence-origin detecting portion that detects the pixel-of-interest as an occurrence origin of on-axis chromatic aberration where a magnitude relationship between the sum of G values and that of R values of the pixels arrayed in the first direction is inverted with respect to a magnitude relationship between the sum of G values and that of R values of the pixels arrayed in the second direction or where a magnitude relationship between the sum of the G values and that of B values of the pixels arrayed in the first direction is inverted with respect to a magnitude relationship between the sum of the G values and that of B values of the pixels arrayed in the second direction.

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

An image-processing apparatus includes a computer configured to: detect a positional-displacement amount between low-resolution images including a standard image and at least one reference image that are acquired in a time series; generate a high-resolution combined image by positioning, based on the positional-displacement amount detected, pixel information of the reference image at a standard-image position and by performing combining thereof in a high-resolution image space; evaluate a positioning error caused by a resolution-enhancement magnification used when positioning the reference image in the high-resolution image space when generating the high-resolution combined image; and correct the high-resolution combined image based on the evaluation result, wherein the correcting of the high-resolution combined image combines a high-resolution correction image generated by applying a filter to the high-resolution combined image based on the evaluation result obtained, and the high-resolution combined image in accordance with combining ratios based on the evaluation result.

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

An imaging apparatus includes a high-frequency pattern detector calculating a difference or a ratio between a value obtained by integrating averages of pixel outputs of a first pixel group arranged in identical positions in a vertical direction with respect to a focus detection pixel or in identical positions in a vertical direction with respect to another focus detection pixel located around the focus detection pixel and a value obtained by integrating averages of pixel outputs of a second pixel group arranged in positions shifted from the first pixel group in the horizontal or vertical direction, and sets a high-frequency degree in accordance with a magnitude of the difference or the ratio. An application determination unit increases the mixing rate of the focus detection pixel when the high-frequency pattern degree is high.

Imaging apparatus and image processing method

An image processing apparatus is designed to process pixel outputs of an imaging element including imaging pixels and phase-difference detecting pixels. The apparatus includes a pixel mixing unit and an image processing unit. The pixel mixing unit mixes the pixel outputs. The image processing unit corrects the pixel outputs to prevent the phase-difference detecting pixels from degrading image quality, by using at least one of information selected from a group consisting of the number of mixed pixel outputs of phase-difference detecting pixels having the same opening direction and the number of mixed pixel outputs of imaging pixels having the same opening direction.

Image processing apparatus and image processing method

An image processing apparatus includes a gain correcting unit and a gain estimating unit. The gain correcting unit corrects a gain of a pixel output of a phase-difference detecting pixel. The gain estimating unit estimates the gain with which to correct the pixel output of the phase-difference detecting pixel. The gain estimating unit includes a provisional true-value calculating unit configured to calculate a pixel output of a provisional true-value calculating pixel, in accordance with a correlation of the pixel outputs between a base block including the phase-difference detecting pixel and a reference block set in a search area for which a block similar to the base block is searched.

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

An image processing apparatus includes: a gray-scale conversion characteristic deriving unit configured to set reference image data out of a plurality of input image data obtained by shooting an identical object with a different amount of exposure and derive a gray-scale conversion characteristic from the reference image data; and an image synthesis processing unit configured to derive a new pixel value for each pixel using a pixel value of one or more input image data selected from a plurality of the input image data based on the gray-scale conversion characteristic to create synthesized image data.

Image processing apparatus, image processing method, photographic imaging apparatus, and recording device recording image processing program

An image processing apparatus includes a histogram extension processing unit for performing a first tone conversion processing on an input image using a first tone conversion characteristic so that a variance of a histogram of an image after the first tone conversion processing is larger than that of a histogram of the input image before the first tone conversion processing; and a posterization processing unit for performing a second tone conversion processing on the image processed in the histogram extension processing unit using a second tone conversion characteristic in which a relation of an output value to an input value is defined by a step function, thereby generating a posterized image whose tone number is reduced as compared with the image before the second tone conversion processing.

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

An image processing apparatus with extended dynamic range includes a first gradation-conversion-characteristics calculating unit that calculates first gradation conversion characteristics for each of a plurality of areas of input image signals; and a gradation conversion unit that performs gradation conversion on each of the areas of the image signals by using the first gradation conversion characteristics. A filter processing and reduction processing unit generates a plurality of band signals having mutually different frequency bands by multi-resolution conversion processing from the image signals subjected to the gradation conversion. A second gradation-conversion-characteristics calculating unit calculates second gradation conversion characteristics associated with the individual band signals from the first gradation conversion characteristics An NR processing unit performs processing for noise reduction on the individual band signals by using the second gradation conversion characteristics; and an adding unit combines the band signals subjected to the processing for noise reduction.

Image processing apparatus, program, method and image capturing system

An image processing apparatus including a noise reducing portion for applying noise reduction to RGB Bayer array image data for each of RGB channels with a noise reduction amount H, and calculating RGBBayer array image data, and also applying the noise reduction to at least the G channel with a noise reduction amount L (L&#x3c;H), and calculating image data G; a color difference calculating portion for calculating color difference data (R&#x2212;G) at a position of Rand color difference data (B&#x2212;G) at a position of B, based on the RGBBayer array image data; and a band-limited interpolating portion and an RGB calculating portion for calculating R, G and B image data at respective pixel positions, based on the color difference data (R&#x2212;G) and (B&#x2212;G), and the image data G.

Image processing apparatus, image pickup apparatus, storage medium for storing image processing program, and image processing method for reducing noise in RGB bayer array image data

A gradation conversion processor performs gradation conversion processing on image data on the basis of a predetermined gradation conversion characteristic, and a noise reduction processor performs noise reduction processing on the image data. Subsequently, a combining-ratio calculator calculates a combining ratio between the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the gradation conversion characteristic, and a combiner combines the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the combining ratio.

Image processing device including gradation conversion processor, noise reduction processor, and combining-raio calculator, and method and storage device storing progam for same

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Tokyo, Japan

Takeshi Fukutomi