Abstract: An imaging control apparatus configured to effectively avoid image capturing competition in a scene in which a large number of infrared cameras capture images. The imaging control apparatus includes an image acquisition unit that acquires an infrared image generated by an infrared camera imaging reflected light of emitted infrared rays, and a control unit that controls a setting for the generation of the infrared image on the basis of a control parameter transmitted to another apparatus or received from another apparatus via a communication interface.

Abstract: There is provided an image processing apparatus and an image processing method in which S/N can be improved. A class tap selection unit configures a class tap by selecting a pixel that is a class tap used in class classification of classifying a pixel to be processed of a first image obtained by adding a residual error of prediction encoding and a prediction image together, into any one class of a plurality of classes, from the first image. A class classification unit performs the class classification of the pixel to be processed by using the class tap, and a filter processing unit performs filter processing corresponding to class of the pixel to be processed, with respect to the first image, to generate a second image used in prediction of the prediction image. The class tap selection unit updates a tap structure of the class tap to a selected tap structure.

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 appropriately improve the compression efficiency. A prediction tap selection section selects a pixel that becomes a prediction tap from a first image, and a classification section classifies the noticed pixel into one of a plurality of classes. A coefficient acquisition section acquires a tap coefficient of the class of the noticed pixel from tap coefficients, and an arithmetic operation section performs prediction operation using the tap coefficient of the class of the noticed pixel and the prediction tap of the noticed pixel to determine a pixel value of a corresponding pixel, which corresponds to the noticed pixel, of a second image that is used for prediction of a predicted image. Further, reduction coefficients and a transform coefficient are transmitted.

Abstract: [Subject] To provide an information processing apparatus and an information processing method. [Solving Means] An information processing apparatus includes a feature quantity identification section and a display control section. The feature quantity identification section identifies, on the basis of an input image prior to image processing and an output image that has undergone the image processing, a feature quantity indicating a change made to an image by the image processing. The display control section causes an indicator regarding an effect of the image processing to be displayed on the basis of the feature quantity.

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: 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: 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: 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: 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: [Object] To generate a color image with further improved image quality. [Solution] Provided is an image processing device including: an image acquisition unit that acquires a far-infrared image, a near-infrared image, and a visible light image in which a common imaged object is captured; and a generation unit that generates a color image by filtering filter taps including pixels of the far-infrared image, the near-infrared image, and the visible light image.

Abstract: [Object] To generate a color image with further improved image quality. [Solution] Provided is an image processing device including: an image acquisition unit that acquires a far-infrared image, a near-infrared image, and a visible light image in which a common imaged object is captured; and a generation unit that generates a color image by filtering filter taps including pixels of the far-infrared image, the near-infrared image, and the visible light image.

Abstract: An information processing apparatus includes processing circuitry (similarity calculation section) configured to calculate a similarity between a posture model and posture data, wherein the posture model being indicative of a posture in a time series gesture, and the posture data being indicative of a posture in a time series of a subject in moving image data.

Abstract: [Object] To effectively avoid image capturing competition in a scene in which a large number of infrared cameras capture images. [Solution] Provided is an imaging control apparatus including: an image acquisition unit that acquires an infrared image generated by an infrared camera imaging reflected light of emitted infrared rays; and a control unit that controls a setting for the generation of the infrared image on the basis of a control parameter transmitted to another apparatus or received from another apparatus via a communication interface.

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: This technology relates to an image processing device, an image processing method, and a program capable of realizing motion parallax closely related to that of the real world. An image processing unit corrects a depth image formed of a depth value indicating a position in a depth direction of each pixel of a color image of a predetermined viewpoint externally input as an input image based on positional information indicating a position of a viewer and the like. This technology is applicable to an image processing device, which performs a process to correct the depth image based on the positional information as an image process, for example.

Abstract: A plurality of processes for emphasizing a stereoscopic effect of an image is supposed and a plurality of stereoscopic effect emphasis processes is integrated in a mode suitable for the image. An image processing device is provided with a stereoscopic effect emphasis processing unit and an integration processing unit. The stereoscopic effect emphasis processing unit executes a plurality of stereoscopic effect emphasis processes on an input image. The integration processing unit integrates results of a plurality of stereoscopic effect emphasis processes according to an integration coefficient used when a plurality of stereoscopic effect emphasis processes is integrated obtained by analyzing the input image. This may be further provided with an image analyzing unit which analyzes the input image to generate the integration coefficient used when a plurality of stereoscopic effect emphasis processes is integrated.

Abstract: A plurality of processes for emphasizing a stereoscopic effect of an image is supposed and a plurality of stereoscopic effect emphasis processes is integrated in a mode suitable for the image. An image processing device is provided with a stereoscopic effect emphasis processing unit and an integration processing unit. The stereoscopic effect emphasis processing unit executes a plurality of stereoscopic effect emphasis processes on an input image. The integration processing unit integrates results of a plurality of stereoscopic effect emphasis processes according to an integration coefficient used when a plurality of stereoscopic effect emphasis processes is integrated obtained by analyzing the input image. This may be further provided with an image analyzing unit which analyzes the input image to generate the integration coefficient used when a plurality of stereoscopic effect emphasis processes is integrated.

Abstract: An information processing apparatus includes processing circuitry (similarity calculation section) configured to calculate a similarity between a posture model and posture data, wherein the posture model being indicative of a posture in a time series gesture, and the posture data being indicative of a posture in a time series of a subject in moving image data.

Abstract: This technology relates to an image processing device, an image processing method, and a program capable of realizing motion parallax closely related to that of the real world. An image processing unit corrects a depth image formed of a depth value indicating a position in a depth direction of each pixel of a color image of a predetermined viewpoint externally input as an input image based on positional information indicating a position of a viewer and the like. This technology is applicable to an image processing device, which performs a process to correct the depth image based on the positional information as an image process, for example.

Abstract: An information retrieval apparatus includes an obtaining unit configured to obtain dynamic ranges or re-quantization codes of a target object to be retrieved and dynamic ranges or re-quantization codes of each of comparison objects to be compared with the target object, the dynamic ranges or re-quantization codes of the target object and the dynamic ranges or re-quantization codes of the comparison objects being obtained as a result of adaptive dynamic range coding; a distance computation unit configured to compute distances between the target object and the comparison objects using the obtained dynamic ranges or re-quantization codes of the target object and the obtained dynamic ranges or re-quantization codes of the comparison objects; and a comparison unit configured to compare the distances between the target object and the comparison objects to select one of the comparison objects having a minimum distance.