Abstract: The present invention allows the amount of movement indicating the movement of an object within an exposure period to be obtained. An estimated-mixture-ratio processor 401 calculates an estimated mixture ratio for each pixel and an estimated motion vector by a calculation corresponding to a model of a covered background area, and sends the calculated estimated mixture ratio and the calculated estimated motion vector to a mixture-ratio determining portion 403. An estimated-mixture-ratio processor 402 calculates an estimated mixture ratio for each pixel and an estimated motion vector by a calculation corresponding to a model of an uncovered background area, and sends the calculated estimated mixture ratio and the calculated estimated motion vector to the mixture-ratio determining portion 403.

Abstract: The present invention allows an image to be processed corresponding to the mixture of a background image and an image of a moving object. A region specifying unit specifies a mixed region wherein foreground object components making up foreground objects and background object components making up background objects are mixed, and a non-mixed region configured of one of foreground object components making up foreground objects or background object components making up background objects, and outputs region information corresponding to the results of specifying. A region processing unit 5001 processes input images for each of the regions specified by the region information. The present invention can be applied to image processing devices for processing images.

Abstract: An image processing device and method, where the image processing device includes a continuity region detector configured to detect a region having data continuity within image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, and a real world estimating unit configured to estimate the light signals by estimating a continuity of the real world light signals which have been lost.

Abstract: An image processing device, method, and program capable of obtaining processing results which are even more accurate and even more precise as to events in the real world by taking into consideration the real world where data has been acquired. The image processing device may include a computer configured to calculate a product-sum coefficient and a recorder configured to record the product-sum coefficient. The image processing device may also include a data continuity detector, a recorder, and a real world estimating unit.

Abstract: An object of the present invention is to separate in real time a captured image into a foreground component image and a background component image. An image captured by an image-capturing unit 74 is separated into a foreground component image and a background component image, which are stored in an image storage unit 72. A billing processor 75 performs billing processing to charge fees for separating the image. A separating portion 91 performs motion-blur processing of the separated foreground component image and outputs the processed foreground component image and the background component image to a synthesizer 92. The synthesizer 92 combines the input motion-blur-processed foreground component image and the separated background component image to synthesize an image and displays the synthesized image on a display unit 73. The present invention is applicable to a camera terminal device.

Abstract: An image processing device, method, and program are capable of obtaining processing results which are even more accurate and even more precise as to events in the real world, taking into consideration the real world where data has been acquired. The image processing device includes a data continuity detector and a real world estimating unit.

Abstract: An image processing device, method, recording medium, and program where the device includes an image data continuity detector configured to detect continuity of image data made up of a plurality of pixels acquired by real world light signals being cast upon a plurality of detecting elements, and a real world estimating unit configured to estimate real world light signals by approximating image data with discontinuous functions.

Abstract: An image processing device and method, where the device includes a data continuity detector configured to detect data continuity of a first image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, a real world estimating unit configured to detect real world features which a first function representing the real world light signals has, and an image generator configured to predict and generate second image data having a higher quality than the first image data, based on the real world features detected by the real world estimating unit.

Abstract: An image processing device, method, recording medium, and program where the device includes a simple-type angle detecting unit simply detects the angle as continuity using correlation from an input image. The device includes an input configured to input image data made up of a plurality of pixels acquired by real world light signals being cast upon a plurality of detecting elements, and a real world estimating unit configured to estimate light signals being cast in an optical low-pass filter.

Abstract: An image processing device and method, where the device includes an image data continuity detector configured to detect data continuity of first image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, a real world estimating unit configured to generate signals approximating waveforms of the real world light signals from the data continuity in the first image data, and an image generator configured to convert the signal generated by the real world estimating unit into second image data.

Abstract: An image processing device, method, recording medium, and program and a learning device, where the learning device includes a computer configured to compute image data corresponding to light signals when the light signals corresponding to second image data pass through an optical low-pass filter and to output computed image data as first image data, a first tap extractor configured to extract a plurality of pixels corresponding to pixels of interest within the second image data from the first image data, and a learning unit configured to teach a predictor configured to predict pixel values of the pixels of interest from the pixel values of the plurality of pixels extracted by the first tap extractor.

Abstract: An image processing device and method, where the device includes a data continuity detector configured to detect data continuity of image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, and a real world estimating unit configured to generate a gradient of pixel values of the plurality of pixels corresponding to a position in one dimensional direction of spatio-temporal directions as to pixels of interest within the image data.

Abstract: An image processing device and method, where the image processing device includes an angle detector configured to detect an angle between a reference axis of data continuity with image data made up of a plurality of pixels acquired by light signals of a real world being cast upon a plurality of detecting elements each having spatio-temporal integration effects, and a real world estimating unit configured to estimate the light signals by estimating a continuity of the real world light signals which have been lost based on the angle detected by the angle detector.

Abstract: An image processing device, method, and a program capable of obtaining processing results which are even more accurate and even more precise as to events in the real world, taking into consideration the real world where data has been acquired. The image processing device may include a computer configured to compute a product-sum coefficient and a recorder configured to record the product-sum coefficient. In another embodiment, the image processing device may include a data continuity detector, a recorder, and a pixel extractor.

Abstract: A data processing apparatus and method, where the apparatus includes a region selecting unit configured to select a region corresponding to a pixel of interest, a frequency detector configured to detect a frequency corresponding to pixels belonging to the region, a continuity detector configured to detect data continuity of the image data, and a real world estimating unit configured to estimate the light signals by estimating the continuity of the real world light signals which have been lost.

Abstract: An image processing device, method, and a program capable of obtaining processing results which are even more accurate and even more precise as to events in the real world, taking into consideration the real world where data has been acquired. The image processing device may include a computer configured to compute a product-sum coefficient and a recorder configured to record the product-sum operation coefficient. In another embodiment, the image processing device may include a data continuity detector, a recorder, and a difference computer.

Abstract: An image processing device, method, and program are capable of obtaining processing results which are even more accurate and even more precise as to events in the real world, taking into consideration the real world where data has been acquired. The image processing device may include a setting unit, a real world estimating unit, a pixel value generator, and a difference computer. In another embodiment, the image processing device may include a data continuity detector including a setting unit, a real world estimating unit, a difference computer, and a detector.

Abstract: The present invention allows detection of an exposure time of an image that has already been captured. A motion detector 102 detects an amount of inter-frame movement of a foreground object in a designated frame based on the designated frame and a frame preceding or subsequent to the designated frame. A mixture-ratio calculator 104 detects a mixture ratio indicating the ratio of mixture of a foreground component and a background component in a mixed area of the designated frame. In accordance with the mixture ratio, the mixture-ratio calculator 104 detects the amount of movement of the foreground object within an exposure time in which pixel data is obtained. A shutter-time calculator 106 detects a ratio of a time interval between frames to the exposure time based on the amount of inter-frame movement and the amount of movement within the exposure time of the foreground object. The present invention is applicable to an image processing apparatus.

Abstract: The present invention relates to an image processing apparatus for generating an image having a high density in the direction of time and having a natural-looking motion blur. The correlation calculators 103 and 104 respectively calculate a correlation between pixel data of a target pixel in a target frame #n from among frames and pixel data of a corresponding pixel in a first frame #n?1 next to the target frame #n and a correlation between the pixel data of the target pixel in the target frame #n and pixel data of a corresponding pixel in a second frame #n+1 next to the target frame #n. The half-side pixel value generator 105 generates first pixel data in a first synthesis frame generated between the target frame #n and one of the first frame #n?1 and the second frame #n+1 containing the corresponding pixel having the pixel data with a larger correlation.

Abstract: An object of the present invention is to make it possible to specify a background image area, a moving object image area, and an image area in which the mixture of the background image area and the moving object image area occurs. A mixture-ratio calculator 103 extracts pixel data of a peripheral frame corresponding to a designated pixel of a designated frame of the image data as background pixel data corresponding to a background object, and also extracts designated pixel data of the designated pixel contained in the designated frame so as to generate a plurality of relational expressions indicating the relationship between the designated pixel data and the background pixel data. The mixture-ratio calculator 103 detects the mixture ratio indicating the mixture state of the objects based on the relational expressions.