Abstract: The present technique relates to an image processing apparatus and an image processing method that can improve the S/N and the compression efficiency. A filtering process is applied to a first image obtained by adding a residual of prediction encoding and a predicted image to generate a second image used for prediction of the predicted image. In the filtering process, pixels as a prediction tap used for prediction computation for obtaining a pixel value of a corresponding pixel of the second image corresponding to a pixel to be processed of the first image are selected from the first image. The pixel to be processed is classified into one of a plurality of classes. Tap coefficients of the class of the pixel to be processed and the prediction tap of the pixel to be processed are used to perform the prediction computation to obtain the pixel value of the corresponding pixel.

Abstract: The present technology relates to an encoding apparatus and an encoding method as well as a decoding apparatus and a decoding method that make it possible to improve the compression efficiency. The encoding apparatus transmits reduction filter information that reduces tap coefficients for individual ones of a plurality of classes determined by learning that uses a student image equivalent to a first image obtained by addition of a residual of prediction encoding and a prediction image and a teacher image equivalent to an original image corresponding to the first image. The decoding apparatus accepts the reduction filter information and performs prediction arithmetic operation using tap coefficients obtained using the reduction filter information to perform a filter process for the first image to generate a second image. The present technology can be applied, for example, an encoding apparatus and a decoding apparatus of an image.

Abstract: Provided is a device and a method for executing image quality improvement processing of an infrared light image. Included are: a feature amount calculating unit for receiving an infrared light image and a visible light image and extracting a feature amount from at least one of the images; and an image correcting unit for executing pixel value correction processing on the infrared light image on the basis of a reference area and a correction parameter determined depending on the feature amount. Further included are: a tap selection unit for determining the reference area used for the pixel value correction on the basis of the feature amount; and a correction parameter calculating unit for determining the correction parameter used for the pixel value correction on the basis of the feature amount.

Abstract: The present disclosure relates to an image processing apparatus, an image processing method, and a program which can suppress degradation of image quality when power consumption of a display unit is reduced by reducing luminance of an image. A determining unit determines a reduction amount of luminance of a pixel based on characteristics of each pixel of an input image. A reducing unit reduces the luminance of the pixel of the input image by the reduction amount determined by the determining unit. The present disclosure can be applied to, for example, an image processing apparatus, or the like, which reduces luminance of a pixel based on characteristics of each pixel of an input image and displays the input image whose luminance is reduced.

Abstract: An image display apparatus according to an embodiment of the present technology includes a correction unit and a display control unit. The correction unit corrects, for correcting deterioration of an image to be projected on the basis of image information including a pixel value of each pixel, the pixel value of each pixel included in the image information. The display control unit changes, for a pixel whose pixel value exceeds an upper limit value by the correction, the pixel value to a value equal to or smaller than the upper limit value and increases display luminance of the pixel exceeding the upper limit value within the image to be projected.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a projection instruction unit and an output unit. The projection instruction unit instructs a projection of a correction image in which one or more representative pixels are displayed. The output unit outputs a GUI (Graphical User Interface) for inputting a blur degree of each of the one or more representative pixels within the projected correction image.

Abstract: To make it possible to reduce a human load for a cutaneous sensation control setting corresponding to an image. Provided is an image processing device including: an infrared image acquisition unit that acquires an infrared image of an imaged object; a visible light image acquisition unit that acquires a visible light image of the imaged object; a generation unit that generates cutaneous sensation control parameters on the basis of the infrared image acquired by the infrared image acquisition unit; and a data processing unit that associates the visible light image acquired by the visible light image acquisition unit with the cutaneous sensation control parameters generated by the generation unit.

Abstract: [Object] To provide stable infrared images. [Solution] Provided is an image processing device including: an acquisition unit that acquires an infrared image; and a control unit that variably controls a target wavelength of the infrared image acquired by the acquisition unit and controls gradation of the infrared image depending on the target wavelength.

Abstract: The present disclosure relates to an image processing apparatus, an image processing method, and a program which can suppress degradation of image quality when power consumption of a display unit is reduced by reducing luminance of an image. A determining unit determines a reduction amount of luminance of a pixel based on characteristics of each pixel of an input image. A reducing unit reduces the luminance of the pixel of the input image by the reduction amount determined by the determining unit. The present disclosure can be applied to, for example, an image processing apparatus, or the like, which reduces luminance of a pixel based on characteristics of each pixel of an input image and displays the input image whose luminance is reduced.

Abstract: An image processing apparatus includes a modifying unit configured to modify depth information representing depths in individual pixels of an image in accordance with content included in the image, thereby generating modified depth information, and an enhancing unit configured to perform a stereoscopic effect enhancement process of enhancing a stereoscopic effect of the image by using the modified depth information generated by the modifying unit.

Abstract: There is provided an image processing device including a characteristic estimation portion that, from one of image information obtained from an image sensor and information attached to the image information, estimates a characteristic of the image sensor that is used to generate the image information, and a processing portion that processes the image information in accordance with the characteristic of the image sensor estimated by the characteristic estimation portion.

Abstract: An image processor includes a first acquirer that acquires a matching tap having a target pixel at the center, a second acquirer that acquires plural matching taps each having, at the center, one of pixels in a search area including the pixels surrounding the target pixel, a similarity identifier that identifies, among the matching taps acquired by the second acquirer, a similarity maximizing pixel representing a central pixel of the matching tap having the highest similarity to the matching tap acquired by the first acquirer, and a mixing controller that computes a pixel value of the target pixel by mixing a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the target pixel at the center with a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the similarity maximizing pixel at the center.

Abstract: There is provided an image processing device including a weight calculation unit that calculates a weight corresponding to each of a plurality of pixel values centering on a pixel of interest of an input image based on a feature amount calculated based on the plurality of pixel values centering on the pixel of interest, a regression coefficient reading unit that reads a regression coefficient stored for each class code determined based on a plurality of pixel values corresponding to the pixel of interest of the input image, and a pixel value calculation unit that calculates a pixel value of a pixel of interest of an output image by performing calculation using the plurality of pixel values, the weights, and the regression coefficients centering on the pixel of interest of the input image.

Abstract: There is provided an image processing apparatus including a model-based processing unit that executes model-based processing for converting resolution and converting an image on the basis of a camera model and a predetermined model having aligning, with respect to a high-resolution image output one frame before, and a prediction operation unit that performs a prediction operation on a pixel value of a high-resolution image to be output, on the basis of parameters stored in advance, an observed low-resolution image that is an input low-resolution image, and an image obtained by executing the model-based processing.

Abstract: A SiC MISFET, in which a source region and a drain region (3, 4) are formed in a one-conductivity-type SiC semiconductor region (2), in which a recess (5) with a predetermined depth is formed in a portion of the SiC semiconductor region sandwiched between the source and drain regions, with the recess having two side faces in contact with the source and drain regions, and a bottom face connecting the two side faces, and in which portions (3a, 4a) of the source and drain regions adjacent to the vicinity of both ends of the bottom face of the recess are thinner than other portions.

Abstract: There is provided an addition ratio learning apparatus including a noise adding unit that adds noises to data of an image input as a teacher image, a motion compensating unit that sets an image where time addition noise reduction processing is executed as an NR screen and performs motion compensation with respect to the NR screen, a differential feature amount calculating unit that sets an image as an input screen and calculates a differential feature amount, a circulation history specifying unit that counts a circulation history in the time addition noise reduction processing and specifies the circulation history, an addition ratio computing unit that computes an addition ratio on the basis of pixel values, and a time adding unit that performs multiplication by a coefficient determined according to the computed addition ratio to perform weighted addition and executes the time addition noise reduction processing with respect to the input screen.

Abstract: There is provided an image processing device including a characteristic estimation portion that, from one of image information obtained from an image sensor and information attached to the image information, estimates a characteristic of the image sensor that is used to generate the image information, and a processing portion that processes the image information in accordance with the characteristic of the image sensor estimated by the characteristic estimation portion.

Abstract: There is provided an image processing device including a weight calculation unit that calculates a weight corresponding to each of a plurality of pixel values centering on a pixel of interest of an input image based on a feature amount calculated based on the plurality of pixel values centering on the pixel of interest, a regression coefficient reading unit that reads a regression coefficient stored for each class code determined based on a plurality of pixel values corresponding to the pixel of interest of the input image, and a pixel value calculation unit that calculates a pixel value of a pixel of interest of an output image by performing calculation using the plurality of pixel values, the weights, and the regression coefficients centering on the pixel of interest of the input image.

Abstract: An image processor includes a first acquirer that acquires a matching tap having a target pixel at the center, a second acquirer that acquires plural matching taps each having, at the center, one of pixels in a search area including the pixels surrounding the target pixel, a similarity identifier that identifies, among the matching taps acquired by the second acquirer, a similarity maximizing pixel representing a central pixel of the matching tap having the highest similarity to the matching tap acquired by the first acquirer, and a mixing controller that computes a pixel value of the target pixel by mixing a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the target pixel at the center with a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the similarity maximizing pixel at the center.

Abstract: A coefficient learning apparatus includes a regression coefficient calculation unit configured to obtain a tap from an image of a first signal; a regression prediction value calculation unit configured to perform a regression prediction computation; a discrimination information assigning unit configured to assign discrimination information to the pixel of interest; a discrimination coefficient calculation unit configured to obtain a tap from the image of the first signal; a discrimination prediction value calculation unit configured to perform a discrimination prediction computation; and a classification unit configured to classify each of the pixels of the image of the first signal into one of the first discrimination class and the second discrimination class.