Abstract: A time-of-flight mass spectrometry device includes an electrode to which a DC high voltage is applied in order to form an ion flight space and a high voltage power supply device that applies the high voltage to the electrode. The high voltage power supply device includes a high voltage generating circuit that generates the high voltage, and a voltage control circuit that is selectively set to a convergence responsiveness priority mode in which the high voltage generating circuit is controlled such that the high voltage has first convergence responsiveness and first stability or a stability priority mode in which the high voltage generating circuit is controlled such that the high voltage has second convergence responsiveness that is lower than the first convergence responsiveness and second stability that is higher than the first stability.

Abstract: An information processing device (20) includes an optimization processing unit (25) that optimizes, on a basis of an evaluation result acquired by evaluation of image quality of when image information for streaming distribution is decoded into a reproducible state on a reception side, a parameter of when the image information is generated.

Abstract: Provided imaging control apparatus 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: The present technology relates to an image processing apparatus, an image processing method, a learning device, a learning method, and a program, for enabling to easily realizing segmentation along a boundary of an object. An image processing apparatus according to one aspect of the present technology inputs, to an inference model, as an input image for determination, an image of a region including at least a part of each superpixel constituting a combination of any plurality of superpixels, in a processing target image including an object; infers whether or not a plurality of superpixels constituting the combination is superpixels of a same object; and aggregates superpixels constituting the processing target image for each object on the basis of an inference result obtained using the inference model. The present technology can be applied to various devices that handle images, such as TVs, cameras, and smartphones.

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: The image processing control apparatus 20 acquires the processing performance of the image processing apparatuses 30-1 to 30-n, and causes the image processing apparatuses 30-1 to 30-n to process test images appropriate to their own processing performance. Furthermore, the image processing control apparatus 20 evaluates the image qualities of the processed test images, and selects, for each image processing to be performed on an input image, an image processing apparatus that generates a processed image with good image quality on the basis of the processing performance and image quality evaluation results of the image processing apparatuses 30-1 to 30-n. Thus, the image processing control apparatus 20 sets an optimum processing flow, and controls the image processing apparatuses on the basis of the optimum processing flow. Therefore, it is possible to allot a portion of image processing to each of a plurality of image processing apparatuses so that an output image with good image quality can be obtained.

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 technology relates to an encoding device, an encoding method, a decoding device, and a decoding method that enable improvement of image quality. The encoding device performs, on a decoded image that is locally decoded, a filtering process of applying a direct current (DC) prediction formula to generate a filtered image, the DC prediction formula being a prediction formula that includes a DC term and performs product-sum operation of a prescribed tap coefficient and a pixel of the decoded image. Moreover, the encoding device encodes an original image by using the filtered image. The decoding device decodes coded data included in an encoded bit stream by using the filtered image to generate a decoded image. Moreover, the decoding device performs a filtering process of applying the DC prediction formula to the decoded image, to generate the filtered image. The present technology can be applied to a case of encoding and decoding of an image.

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: There is provided an encoding apparatus, an encoding method, a decoding apparatus, and a decoding method that can significantly improve S/N of an image. A classification unit classifies a target pixel of a first image, which is obtained by adding a residual of prediction encoding and a predicted image, into one of a plurality of classes, and a filter processing unit applies a filtering process corresponding to the class of the target pixel to the first image to generate a second image used to predict the predicted image. The classification is performed by using previous-stage filter related information regarding a previous-stage filtering process executed in a previous stage of the filtering process of the filter processing unit. The present technique can be applied to, for example, an encoding apparatus or a decoding apparatus of an image.

Abstract: The present technology relates to a data processing apparatus and a data processing method that make it possible to perform a filter process having a high degree of freedom. A coefficient conversion section converts a first filter coefficient into a second filter coefficient different from the first filter coefficient. A filter section performs a filter process using the second filter coefficient. The present technology can be applied to a filter and so forth by which a filter process, for example, of an image or sound is performed.

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 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: There is provided an image processing device, an image processing method, and a program that make it possible to swiftly perform segmentation of video images. The image processing device according to an aspect of the present technology sets superpixels for frames included in a video image. The superpixels are regions including a plurality of pixels. Further, as information regarding each of the superpixels in a predetermined frame, the image processing device inherits and sets information regarding a corresponding one of the superpixels in a frame earlier than the predetermined frame. The present technology is applicable to various kinds of equipment for processing video images.

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 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: 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 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: Provided imaging control apparatus 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: 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.