Abstract: Provided is a control device and method for enabling image capturing under optimum image-capturing conditions. A control section corrects preset image-capturing conditions on the basis of an analysis result of an image captured by an image capturing device included in a mobile body. A driving control section controls driving of the mobile body on the basis of the corrected image-capturing conditions. The present technique is applicable to a mobile-body control system that controls the mobile body.

Abstract: The present technique relates to a control device and method and a program for enabling image capturing under optimum image-capturing conditions. A control section corrects preset image-capturing conditions on the basis of an analysis result of an image captured by an image capturing device included in a mobile body. A driving control section controls driving of the mobile body on the basis of the corrected image-capturing conditions. The present technique is applicable to a mobile-body control system that controls the mobile body.

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: The present disclosure relates to an apparatus and a method for information processing enabling alignment between imaged images to be more accurately performed. With respect to a detection result of a correspondence point between an imaged image including a pattern irradiated for alignment with other imaged image, and the other imaged image including the pattern, an evaluation value with which an occurrence rate of an error in the alignment when the imaged image and the other imaged image are composed with each other is evaluated is calculated; and an irradiated position of the pattern is updated on the basis of the evaluation value calculated. The present disclosure, for example, can be applied to an information processing apparatus, an irradiation device, an imaging apparatus, an irradiation imaging apparatus, a controller, an imaging system or the like.

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: 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: An interpolation processing unit 31 performs an interpolation process of a decimated pixel in an image signal. A signal generation pixel determination unit 32 calculates a feature value of a pixel of interest from the image signal to which the interpolation process is performed by the interpolation processing unit 31, and determines whether the pixel of interest is a decimated pixel or a non-decimated pixel on the basis of the calculated feature value, and generates signal generation pixel determination information indicating a determination result. A signal generation control unit 34 performs control to stop signal generation operation of the pixel that is determined to be the decimated pixel by the signal generation pixel determination information generated by the signal generation pixel determination unit 32, at a time of subsequent generation of an image signal.

Abstract: There is provided an image processing device including a prediction tap acquisition unit that acquires, as prediction taps, values of a plurality of pixels decided according to a pixel of interest from a plurality of input images which are formed by pixels each having a single color component and have different array forms of the pixels, a coefficient data storage unit that stores data of coefficients multiplied by the respective acquired prediction taps, and a prediction calculation unit that computes, through calculation using the prediction taps and the coefficients, a value of the pixel of interest in an output image formed by pixels having a plurality of color components, which is an image obtained by demosaicing the input images.

Abstract: There is provided an information processing apparatus, including a behavior information generating unit that generates behavior information, a behavior pattern analyzing unit that analyzes a behavior pattern based on the behavior information, a similarity determining unit that performs a similarity determination of the analyzed behavior pattern and a protection target behavior history pattern, a protection selecting unit that selects a protection level of the behavior information based on a result of the similarity determination, and a behavior information protecting unit that protects the behavior information based on the selected protection level.

Abstract: A prediction calculation unit calculates a pixel value of a pixel of interest for each color component by a calculation of a learned predictive coefficient and a predictive tap, and outputs an output image including the pixel value of the pixel of interest of each color component. For example, the present technology can be applied to an image processing apparatus.

Abstract: A predictive signal processing unit calculates a pixel value of a luminance component of a pixel of interest by a calculation of a predictive coefficient for a luminance component and a luminance prediction tap. A predictive signal processing unit calculates a pixel value of a chrominance component of a pixel of interest by a calculation of a predictive coefficient for a chrominance component which is higher in noise reduction effect than the predictive coefficient for the luminance component and a chrominance prediction tap. For example, the present technology can be applied to an image processing apparatus.

Abstract: A coefficient learning apparatus includes a regression coefficient calculation unit for calculating a regression coefficient, a regression prediction value calculation unit for calculating a regression prediction value, a discrimination information assigning unit for assigning discrimination information for discriminating whether a target pixel belongs to a first discrimination class or a second discrimination class, a discrimination coefficient calculation unit for calculating a discrimination coefficient, a discrimination prediction value calculation unit for calculating a discrimination prediction value, and a classification unit for classifying the pixels of the image of the first signal into any one of the first discrimination class and the second discrimination class based on the calculated discrimination prediction value.

Abstract: An image processing control device includes an adjacent pixel difference absolute value phase-based total value calculation unit configured to calculate adjacent pixel difference absolute value phase-based total values obtained by summing adjacent pixel difference absolute values, which are absolute values of differences in pixel value between adjacent pixels of an image subjected to predetermined image processing, with respect to all pixels of the image, every phase representing a location between the pixels of an encoding block when the image is encoded, a maximum boundary phase specifying unit configured to specify a maximum boundary phase which is a phase of a maximum value among the adjacent pixel difference absolute value phase-based total values calculated every phase, and a control unit configured to control the image processing so as to reduce encoding block distortion generated between pixels of the specified maximum boundary phase.