Abstract: There is provided an imaging apparatus and an imaging method, and an image processing apparatus and an image processing method each capable of capturing a high resolution image by effectively using respective pixel signals of a plurality of pixels defined by pupil division immediately below a microlens. A disparity is detected in units of pupil on the basis of respective pixel values of a plurality of divided pixels defined by pupil division. The pixel values of the plurality of divided pixels are added in units of pupil to obtain an added pixel value. The pixel value of the divided pixel and the added pixel value are blended in units of divided pixel in accordance with the disparity. The present disclosure is applicable to an imaging apparatus.

Abstract: On the basis of a first imaging signal corresponding to a first viewpoint and including white pixels and color component pixels and a second imaging signal corresponding to a second viewpoint different from the first viewpoint and including fewer white pixels than the first imaging signal to increase a rate of the color component pixels in the second imaging signal, a parallax detecting section detects a parallax of the second viewpoint with respect to the first viewpoint. A parallax compensating section performs parallax compensation for the imaging signal for the second viewpoint on the basis of the detected parallax to generate a parallax-compensated color difference signal for the first viewpoint. A fallback determining section and a signal selecting section selects a parallax-compensated second color difference signal or a color difference signal for the first viewpoint to obtain a high-sensitivity captured image while suppressing degradation of the image quality performance.

Abstract: There is provided an image processing device, an image projection device, a control device, an information processing device, an image projection system, an image processing method, and a program that make it possible to suppress a reduction in a subjective image quality. On the basis of each frame image of a moving image, a time during which a projection image of each frame image of the moving image is viewable by a user is controlled. For example, a controller controls the time during which the projection image is viewable by the user, to cause a difference between the moving image and the projection image due to a reduction in a luminance and a difference between the moving image and the projection image, which increases due to an increase in the time during which the projection image is viewable by the user, to be suppressed.

Abstract: Provided are an apparatus and a method for executing image quality enhancement processing on a fluorescence image. A fluorescence image and a visible light image are input and the image feature amount is extracted, so as to execute pixel value correction processing on the fluorescence image on the basis of a correction parameter determined in accordance with the feature amount. The correction parameter used for pixel value correction is determined by the correction parameter calculation unit on the basis of the feature amount. The image correction unit executes pixel value correction processing that applies the correction parameter determined by the correction parameter calculation unit. For example, blur mode information is obtained as a feature amount from a fluorescence image, and the image correction unit executes pixel value correction processing on the fluorescence image so as to reduce blur of the fluorescence image.

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: The present technology relates to an encoding device, an encoding method, a decoding device, and a decoding method that make it possible to accurately restore an image. The encoding device generates a filter image by performing, on a decoded image locally decoded, filter processing of applying a prediction equation including a second-order or higher higher-order term and performing a product-sum calculation of predetermined tap coefficients and pixels of the decoded image. Moreover, the encoding device encodes an original image by using the filter image. The decoding device decodes coded data included in an encoded bit stream by using a filter image, to generate a decoded image. Moreover, the decoding device generates the filter image by performing, on the decoded image, filter processing of applying a prediction equation. The present technology can be applied to a case where encoding and decoding of an image are performed.

Abstract: A device includes 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. The device further includes 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. The image correcting unit executes the pixel value correction processing in which a tap determined by the tap selection unit and the correction parameter determined by the correction parameter calculating unit are applied.

Abstract: An image processing apparatus is provided to alleviate degradation of the gradation of a color image in the case where images having a sensitivity different from each other are obtained by imaging one same object in black-and-white and color. The image processing apparatus includes a gradation control part obtaining a brightness signal representing a black-and-white image and a chroma signal representing a color image obtained by imaging a same object as that for the black-and-white image and that controls gradation of the chroma signal on the basis of the brightness signal. This configuration can suppress degradation of the gradation of a color image to be minimal in the case where images having a sensitivity different from each other are obtained by imaging one same object in black-and-white and color.

Abstract: Effective image correction processing for reducing flicker is executed according to characteristics of images, and an image to be displayed in a liquid crystal display apparatus is generated. Characteristic amount change rate data that is a change rate between a characteristic amount of a sample image and a characteristic amount of a sample image output to a liquid crystal display device is acquired in advance and stored in a storage unit. The correction parameter for reducing flicker is calculated on the basis of the characteristic amount of the image to be corrected and the characteristic amount change rate data of the sample images stored in the storage unit. The correction processing to which the calculated correction parameter has been applied is executed for the image to be corrected to generate a display image. As the characteristic amount, for example, the interframe luminance change amount, the interline luminance conversion amount, or the interframe motion vector is used.

Abstract: The encoding apparatus encodes an input image by a non-reversible encoding method and transmits identification information for identifying match components that are, from among a plurality of texture components registered in a database, texture components that match with the input image and encoded data obtained by encoding the input image. The decoding apparatus receives the encoded data and the identification information, decodes the encoded data into a decoded image, and synthesizes the texture component as the match component identified by the identification information from among a plurality of texture components registered in a database and the decoded image. The present technology can be applied, for example, a codec or the like by which an image is encoded and decoded.

Abstract: 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: Provided is an encoding apparatus, an encoding method, a decoding apparatus, and a decoding method by which a transmission efficiency and picture quality can be improved. The encoding apparatus encodes an input image by a non-reversible encoding method and transmits identification information for identifying match components that are, from among a plurality of texture components registered in a database, texture components that match with the input image and encoded data obtained by encoding the input image. The decoding apparatus receives the encoded data and the identification information, decodes the encoded data into a decoded image, and synthesizes the texture component as the match component identified by the identification information from among a plurality of texture components registered in a database and the decoded image. The present technology can be applied, for example, to a codec or the like by which an image is encoded and decoded.

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: On the basis of a first imaging signal corresponding to a first viewpoint and including white pixels and color component pixels and a second imaging signal corresponding to a second viewpoint different from the first viewpoint and including fewer white pixels than the first imaging signal to increase a rate of the color component pixels in the second imaging signal, a parallax detecting section detects a parallax of the second viewpoint with respect to the first viewpoint. A parallax compensating section performs parallax compensation for the imaging signal for the second viewpoint on the basis of the detected parallax to generate a parallax-compensated color difference signal for the first viewpoint. A fallback determining section and a signal selecting section selects a parallax-compensated second color difference signal or a color difference signal for the first viewpoint to obtain a high-sensitivity captured image while suppressing degradation of the image quality performance.

Abstract: The present disclosure relates to an image processing apparatus and method that enable suppression of a reduction in subjective image quality. Image processing is performed on each of a plurality of frame images before projection. The image processing suppresses an influence of superimposition of the plurality of frame images in a projection image in projecting each of the plurality of frame images cyclically using a corresponding one of a plurality of projection sections. The plurality of frame images is included in a moving image. The present disclosure can be applied to, for example, an image processing apparatus, an image projection apparatus, a control apparatus, an information processing apparatus, an image projection system, an image processing method, a program, or the like.

Abstract: An image processing apparatus is provided to alleviate degradation of the gradation of a color image in the case where images having a sensitivity different from each other are obtained by imaging one same object in black-and-white and color. The image processing apparatus includes a gradation control part obtaining a brightness signal representing a black-and-white image and a chroma signal representing a color image obtained by imaging a same object as that for the black-and-white image and that controls gradation of the chroma signal on the basis of the brightness signal. This configuration can suppress degradation of the gradation of a color image to be minimal in the case where images having a sensitivity different from each other are obtained by imaging one same object in black-and-white and color.

Abstract: There is provided an imaging apparatus and an imaging method, and an image processing apparatus and an image processing method each capable of capturing a high resolution image by effectively using respective pixel signals of a plurality of pixels defined by pupil division immediately below a microlens. A disparity is detected in units of pupil on the basis of respective pixel values of a plurality of divided pixels defined by pupil division. The pixel values of the plurality of divided pixels are added in units of pupil to obtain an added pixel value. The pixel value of the divided pixel and the added pixel value are blended in units of divided pixel in accordance with the disparity. The present disclosure is applicable to an imaging apparatus.

Abstract: There is provided an apparatus and a method that perform a process of improving the quality of a low-quality image such as a far-infrared image. The apparatus includes an image correction unit that repeatedly performs an image correction process using a plurality of processing units in at least two stages. The image correction unit inputs a low-quality image to be corrected and a high-quality image which is a reference image. Each of the processing units in each stage performs a correction process for the low-quality image, using a class correspondence correction coefficient corresponding to a feature amount extracted from a degraded image of the high-quality image. A processing unit in a previous stage performs the correction process, using a class correspondence correction coefficient corresponding to a feature amount extracted from an image which has a higher degradation level than that in a processing unit in a subsequent stage.

Abstract: The present technology relates to an encoding apparatus and an encoding method as well as a decoding apparatus and a decoding method by which a transmission efficiency and picture quality can be improved. The encoding apparatus encodes an input image by a non-reversible encoding method and transmits identification information for identifying match components that are, from among a plurality of texture components registered in a database, texture components that match with the input image and encoded data obtained by encoding the input image. The decoding apparatus receives the encoded data and the identification information, decodes the encoded data into a decoded image, and synthesizes the texture component as the match component identified by the identification information from among a plurality of texture components registered in a database and the decoded image. The present technology can be applied, for example, a codec or the like by which an image is encoded and decoded.

Abstract: Provided are an apparatus and a method for executing image quality enhancement processing on a fluorescence image. A fluorescence image and a visible light image are input and the image feature amount is extracted, so as to execute pixel value correction processing on the fluorescence image on the basis of a correction parameter determined in accordance with the feature amount. The correction parameter used for pixel value correction is determined by the correction parameter calculation unit on the basis of the feature amount. The image correction unit executes pixel value correction processing that applies the correction parameter determined by the correction parameter calculation unit. For example, blur mode information is obtained as a feature amount from a fluorescence image, and the image correction unit executes pixel value correction processing on the fluorescence image so as to reduce blur of the fluorescence image.