Abstract: The present invention makes it possible to process at high speed the foreground component image and the background component image of picked up images on a network platform. A client computer 27 outputs information specifying image data desired to separate to a separation server 11. The separation server 11 obtains the specified image data from a storage server 18 and outputs it to a motion detecting server 12 to perform motion detection processing. Thereafter, the image data, motion vector and positional information are output to an area specifying server 13. The area specifying server 13 generates area information of the image data and outputs the area information to a mixture ratio calculating server 14 in addition to the image data, the motion vector and the positional information.

Abstract: The present invention particularly relates to an image processing apparatus in which motion blur contained in a blurred image can be eliminated. An area specifying unit 103 specifies a non-mixed area formed of a foreground area consisting of foreground object components which form a foreground object and a background area consisting of background object components which form a background object, or a mixed area in which the foreground object components and the background object components are mixed. A separating/blur-eliminating unit 1503 simultaneously performs processing for separating the foreground object components and the background object components from the pixel data of the mixed area and processing for eliminating motion blur from the separated foreground object components based on a result obtained by specifying the area. The present invention is applicable to an image processing apparatus in which a difference between a signal detected by an image-capturing device and the real world is considered.

Abstract: An image signal generated by a CCD image sensor is processed by the block-generating section 28 provided in an image-signal processing section 25. A class tap and a prediction tap are thereby extracted. The class tap is output to an ADRC process section 29, and the prediction tap is output to an adaptation process section 31. The ADRC process section 29 performs an ADRC process on the input image signal, generating characteristic data. A classification process section 30 generates a class code corresponding to the characteristic data thus generated and supplies the same to an adaptation process section 31. The adaptation process section 31 reads, from a coefficient memory 32, the set of prediction coefficients which corresponds to the class code. The set of prediction coefficients and the prediction tap are applied, thereby generating all color signals, i.e., R, G and B signals, at the positions of the pixels which are to be processed.

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, 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 information processing apparatus includes an image taking means for taking images of a subject, a class-classification means for classifying a first image outputted by the image taking means into a class according to a characteristics thereof, a storage means for storing plural coefficient memories having different image taking conditions at the time of image taking, which store prediction coefficients according to the class acquired by learning, a designation means for designating one coefficient memory from among the plural coefficient memories based on the image taking condition when the image was taken by the image taking means, and a calculation means for calculating a second image in which noise is removed from the first image by calculating a prediction coefficient of the class of the first image, which is in the designated coefficient memory.

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 for processing images of background images and moving objects. A region specifying unit specifies a mixed region made up of a mixture of a foreground object component and a background object component, and a non-mixed region made up of one or the other of a foreground object component and a background object component, and outputs region information corresponding to the specifying results. A foreground/background separation unit separates the input image into foreground component images and background component images, corresponding to the region information. A separated image processing unit processes the foreground component images and background component images individually, corresponding to the results of separation.

Abstract: The present invention makes it possible to process at high speed the foreground component image and the background component image of picked up images on a network platform. A client computer 27 outputs information specifying image data desired to separate to a separation server 11. The separation server 11 obtains the specified image data from a storage server 18 and outputs it to a motion detecting server 12 to perform motion detection processing. Thereafter, the image data, motion vector and positional information are output to an area specifying server 13. The area specifying server 13 generates area information of the image data and outputs the area information to a mixture ratio calculating server 14 in addition to the image data, the motion vector and the positional information.

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 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: An apparatus and method which takes into consideration the real world where data was acquired, and enables obtaining of processing results which are more accurate and more precise as to phenomena in the real world. A data continuity detecting unit detects the continuity of data of second signals, having second dimensions that are fewer than first dimensions had by first signals which are real world signals and are projected whereby a part of the continuity of the real world signals is lost, wherein the continuity to be detected corresponds to the continuity of the real world signals that has been lost. An actual world estimating unit estimates a real world image by estimating the continuity of the real world image that has been lost, based on the continuity of the data detected by the data continuity detecting unit.

Abstract: The present invention enables the high speed processing of a foreground component image and a background component image associated with images received on a network platform. A client computer outputs information specifying image data to a separation server. The separation server then obtains the specified image data from a storage server and outputs it to a motion detecting server to perform motion detection processing. Thereafter, the image data, a motion vector, and positional information are output to an area specifying server. The area specifying server generates area information corresponding to the image data and outputs the area information to a mixture ratio calculating server in addition to the image data, the motion vector, and the positional information.

Abstract: An apparatus for detecting a mixed area in frames. An object extracting unit extracts a foreground object from an input image and generates an area-specified object formed of the foreground object and a value indicating that the foreground object belongs to a background area. A motion compensator compensates for the motion of the area-specified object based on a motion vector and positional information thereof. A subtracting unit subtracts the pixel value of a pixel belonging to a foreground object of a current frame from the corresponding pixel of the foreground object of a preceding frame, so as to obtain a frame difference between the pixels belonging to the foreground area. A threshold-value processor detects a mixed area based on the difference.

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, 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: An image processing device and method, and a program, obtains 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. In the event that the light signal in the actual world represented with a light signal function has predetermined continuity, the actual world estimating unit estimates the light signal function by approximating the light signal function with a predetermined approximation function using weighting provided in accordance with importance to the pixels within an input image (image data including continuity of data corresponding to continuity) from the sensor, and data continuity information (data continuity information corresponding to continuity of the input image data) from the data continuity detecting unit.

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.