Abstract: An image processing apparatus includes: an image storage unit storing a first image affected by aberration of an optical system; a position information generation unit generating position information about a pixel of the first image corresponding to a scanned target pixel on the basis of position information about the target pixel scanned in the predetermined order and a distortion aberration table; an image output unit outputting a first image in which distortion aberration correction is performed in units of one pixel based on integer information about the position information generated by the position information generation unit; a first aberration correction unit, using fractional part information about the position information, correcting phase shift caused by distortion aberration for each pixel of the first image; and a second aberration correction unit generating the second image by correcting aberration other than distortion aberration in the first image.

Abstract: An image processing apparatus includes: an image storage unit storing a first image affected by aberration of an optical system; a position information generation unit generating position information about a pixel of the first image corresponding to a scanned target pixel on the basis of position information about the target pixel scanned in the predetermined order and a distortion aberration table; an image output unit outputting a first image in which distortion aberration correction is performed in units of one pixel based on integer information about the position information generated by the position information generation unit; a first aberration correction unit, using fractional part information about the position information, correcting phase shift caused by distortion aberration for each pixel of the first image; and a second aberration correction unit generating the second image by correcting aberration other than distortion aberration in the first image.

Abstract: To assist in adding a more appropriate word to ontology having a superordinate concept and a subordinate concept. An ontology processing device according to an embodiment of the present disclosure acquires a word from ontology as a seed word, the word corresponding to a subordinate concept of a designated concept; computes a distance between a hyperplane obtained from a result of fitting processing on the seed word and a word corresponding to each of word vectors; extracts words serving as candidates on the basis of the computed distance, the candidates being additionally registered in the ontology; and adds a part or all of extracted addition candidate words to the ontology.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: An image processing apparatus includes a gamma correction unit configured to perform gamma correction on linear-scale raw image signals to generate log-scale signals, a demosaicing unit configured to demosaic the log-scale signals generated by the gamma correction unit to generate image signals, and an inverse gamma correction unit configured to perform inverse gamma correction on the image signals generated by the demosaicing unit to generate linear-scale signals.

Abstract: An image processing apparatus includes a class tap selection unit that selects pixel values related to pixels corresponding to a plurality of color components as a class tap, from a first image formed by image signals which are output from a single-plate type pixel portion, a class sorting unit that sorts out target pixels of second images as any one of a plurality of classes on the basis of a feature amount of the class tap, a prediction tap selection unit that selects pixel values related to pixels corresponding to a first color component of the plurality of color components as a prediction tap from the first image, and a product-sum operation unit that uses the pixel values of the first color component of the prediction tap as variables, and operates pixel values of the second images through a product-sum operation using the read coefficient.

Abstract: There is provided an image processing apparatus including: a prediction tap selection unit which selects a pixel which is a prediction tap used for prediction operation for acquiring a pixel value of a target pixel which is a target from a second image obtained by converting a first image, from the first image; a classification unit which classifies the target pixel to any class from a plurality of classes; a tap coefficient output unit which outputs a tap coefficient of a class of the target pixel from tap coefficients, acquired by learning to minimize an error between a result of the prediction operation using a student image corresponding to the first image and a teacher image corresponding to the second image; and an operation unit which acquires a pixel value of the target pixel by performing the prediction operation using the tap coefficient and the prediction tap.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: There is provided an image processing apparatus that includes a green interpolation unit that, when a shape of low signals, which have, as a signal of each pixel of an image, a color signal that has been allocated to that pixel, is a predetermined shape, creates green image signals for all pixels that correspond to the low signals using only the low signals of green pixels, which are pixels to which green has been allocated.

Abstract: An image processing apparatus includes a gamma correction unit configured to perform gamma correction on linear-scale raw image signals to generate log-scale signals, a demosaicing unit configured to demosaic the log-scale signals generated by the gamma correction unit to generate image signals, and an inverse gamma correction unit configured to perform inverse gamma correction on the image signals generated by the demosaicing unit to generate linear-scale signals.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: An image processing apparatus includes a color variation amount/normalized dynamic range operation unit that operates color variation amounts indicating variation amounts of a first color component and a second color component for a third color component of the plurality of color components in pixels of the designated region of a first image output from a single-plate type pixel portion, and a coefficient reading unit that reads a coefficient stored in advance on the basis of a result of class sorting of the designated region, in which an operation method of pixel values of the second image formed by pixels of only the first color component and an operation method of pixel values of the second image formed by pixels of only the second color component are changed on the basis of the color variation amounts and the normalized dynamic ranges.

Abstract: An image processing apparatus includes: a representative value calculation unit that selects a designation area from a first image, and that calculates a representative value of each of the color components in the designation area, a class classification unit that performs class classification on the designation area, a coefficient reading unit that reads a coefficient that is stored in advance, a color component conversion unit that sets the pixel value relating to a predetermined pixel within the designation area to be a prediction tap, sets the pixel value of one color component, to be a reference, and converts the pixel value of each color component into a conversion value, and a product and sum calculation unit that sets the conversion value to be a variable and calculates each of the pixel values of a second image, by performing product and sum calculation which uses the coefficient which is read.

Abstract: There is provided an image processing apparatus including: a prediction tap selection unit which selects a pixel which is a prediction tap used for prediction operation for acquiring a pixel value of a target pixel which is a target from a second image obtained by converting a first image, from the first image; a classification unit which classifies the target pixel to any class from a plurality of classes; a tap coefficient output unit which outputs a tap coefficient of a class of the target pixel from tap coefficients, acquired by learning to minimize an error between a result of the prediction operation using a student image corresponding to the first image and a teacher image corresponding to the second image; and an operation unit which acquires a pixel value of the target pixel by performing the prediction operation using the tap coefficient and the prediction tap.

Abstract: An image processing apparatus includes a class tap selection unit that selects pixel values related to pixels corresponding to a plurality of color components as a class tap, from a first image formed by image signals which are output from a single-plate type pixel portion, a class sorting unit that sorts out target pixels of second images as any one of a plurality of classes on the basis of a feature amount of the class tap, a prediction tap selection unit that selects pixel values related to pixels corresponding to a first color component of the plurality of color components as a prediction tap from the first image, and a product-sum operation unit that uses the pixel values of the first color component of the prediction tap as variables, and operates pixel values of the second images through a product-sum operation using the read coefficient.

Abstract: A frame interpolation device includes: a unit dividing two temporally different reference frames of moving image signal into block units; a unit detecting motion vectors in block units in accordance with correlation between blocks of the reference frames; a unit obtaining at least first and second motion vectors from the statistical amount of the motion vectors; a unit estimating the first or second motion vector for each block in accordance with the obtained first and second motion vectors; a unit translating the first and second motion vectors through a generated pixel in an interpolated frame between the reference frames, setting local areas at four points of the start and end points of the first and second motion vectors as search areas, and identifying the first or second motion vector from the search areas; and a unit performing motion compensation on the pixel by using the first or second motion vector.

Abstract: A coefficient generating device generating a conversion coefficient for converting an input image signal of an input image into a display image signal of a display image includes a past-image generating unit that generates a past image signal of a past image correlated with a teacher image being one frame before a teacher image correlated with the display image; a transient-image generating unit that generates a transient image signal of a transient image; a visual-image generating that generates a visual image signal of a visual image; and a calculating unit that obtains the conversion coefficient using a pixel value of a pixel of interest in the teacher image and pixel values of pixels determined by a motion vector detected in a student image correlated with the input image and spatially/temporally near a pixel in the student image at the same position as the pixel of interest.

Abstract: An image processing apparatus includes: n input receiving means for receiving input image signals representing images to be displayed as video images on n divided screens obtained by dividing a screen of a display into n areas having the same number of pixels; n accumulative weighted averaging means for identifying pixels to be processed having the same relative positions in one-frame-length images displayed on the n divided screens corresponding to the image signals inputted through the n input receiving means and accumulatively performing weighted averaging on the pixels to be processed whenever the frame changes; n memories that store the pixels of the one-frame-length images displayed on the n divided screens and having undergone the accumulative weighted averaging; and access switching means for switching the memories accessed by the n accumulative weighted averaging means based on a control signal outputted from one of the n accumulative weighted averaging means.

Abstract: Disclosed herein is a data encoding apparatus including a transform encoding section; a quantization-scale computation section; a feature-quantity extraction section; a quantization-scale adjustment section; and a quantization section.

Abstract: An information processing apparatus includes a calculation unit and a conversion unit. A shot of an image displayed on a display under evaluation is taken, and first and second areas are defined in a resultant captured image. The calculation unit performs a calculation such that a pixel value of a pixel in the first area is compared with a pixel value of a pixel in the second area, and the size of an image of a pixel of the display on the captured image, and the angle of the first area with respect to the image of the pixel of the display on the captured image are determined from the comparison result. The conversion unit converts data of the captured image of the display into data of each pixel of the display, based on the size of the image of the pixel and the angle of the first area.