Abstract: An image processing method includes determining whether an image is corrupted, extracting class taps used for classification of a pixel to be generated, performing classification of the pixel to be generated by using the class taps, extracting prediction taps used for prediction of the pixel to be generated, and generating an image by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel among a first prediction coefficient set if the subject pixel is determined as a pixel representing a corrupted image, and by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel to be generated among a second prediction coefficient set if the subject pixel is determined as a pixel representing an uncorrupted image.

Abstract: An image processing method includes determining whether an image is corrupted, extracting class taps used for classification of a pixel to be generated, performing classification of the pixel to be generated by using the class taps, extracting prediction taps used for prediction of the pixel to be generated, and generating an image by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel among a first prediction coefficient set if the subject pixel is determined as a pixel representing a corrupted image, and by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel to be generated among a second prediction coefficient set if the subject pixel is determined as a pixel representing an uncorrupted image.

Abstract: Converting circuits convert the values of multiple items of SD pixel data (pixel value) as class tap data to luminance values. The converting circuits convert pixel values to luminance values based on a correspondence relation between a value of pixel data in an image display device and a luminance value. Class-detecting circuits detect a space class and a motion class based on plural luminance values. Class-synthesizing circuit acquires a class code indicating the class to which the pixel data of a target position in an HD signal belongs. Estimation/prediction-operating circuit obtains items of pixel data of the target position in the HD signal based on an estimation equation using data of an prediction tap and coefficient data of the class indicated by the class code. Consequently, appropriate classification of class to the luminance characteristic of a display device is performed.

Abstract: The present invention provides an apparatus for converting image data, including a block extraction unit extracts a class tap from a composite signal. A pixel-location-mode output unit determines a pixel location mode from the extracted class tap, and outputs it to a coefficient memory. A coefficient calculation unit acquires a seed coefficient from a seed coefficient memory to determine a predictive coefficient based on a transform method selection signal input from a designation unit, and stores the result into the coefficient memory. The coefficient memory supplies a predictive coefficient corresponding to the pixel location mode to a predictive calculation unit. A block extraction unit extracts a predictive tap from the composite signal, and outputs the result to the predictive calculation unit. The predictive calculation unit outputs a component signal or a transformed component signal based on the predictive tap and the predictive coefficient.

Abstract: A device for processing an image signal that can improve an image quality of a zoom image, in which based on an input image signal, an image-signal-processing section produces an output image signal to display the zoom image with an expansion rate of an image being changed consecutively around an arbitrary center point specified by the user. Each pixel data of the output image signal is calculated by using coefficient data produced by a coefficient production circuit that produces the coefficient data based on not only phase information of each pixel but also resolution adjustment information and noise suppression degree adjustment information that the image quality adjustment information generation circuit generates based on the expansion rate of the image, a change rate (K) of the expansion rate of the image, and characteristics information of the image.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: A device for processing an image signal that can improve an image quality of a zoom image in which based on an input image signal, an image-signal-processing section produces an output image signal to display the zoom image with an expansion rate of an image being changed consecutively around an arbitrary center point specified by the user. Each pixel data of the output image signal is calculated by using coefficient data produced by a coefficient production circuit that produces the coefficient data based on not only phase information of each pixel but also resolution adjustment information and noise suppression degree adjustment information that the image quality adjustment information generation circuit generates based on the expansion rate of the image, a change rate (K) of the expansion rate of the image, and characteristics information of the image.

Abstract: Converting circuits convert the values of multiple items of SD pixel data (pixel value) as class tap data to luminance values. The converting circuits convert pixel values to luminance values based on a correspondence relation between a value of pixel data in an image display device and a luminance value. Class-detecting circuits detect a space class and a motion class based on plural luminance values. Class-synthesizing circuit acquires a class code indicating the class to which the pixel data of a target position in an HD signal belongs. Estimation/prediction-operating circuit obtains items of pixel data of the target position in the HD signal based on an estimation equation using data of an prediction tap and coefficient data of the class indicated by the class code. Consequently, appropriate classification of class to the luminance characteristic of a display device is performed.

Abstract: The present invention provides an apparatus for converting image data, including a block extraction unit extracts a class tap from a composite signal. A pixel-location-mode output unit determines a pixel location mode from the extracted class tap, and outputs it to a coefficient memory. A coefficient calculation unit acquires a seed coefficient from a seed coefficient memory to determine a predictive coefficient based on a transform method selection signal input from a designation unit, and stores the result into the coefficient memory. The coefficient memory supplies a predictive coefficient corresponding to the pixel location mode to a predictive calculation unit. A block extraction unit extracts a predictive tap from the composite signal, and outputs the result to the predictive calculation unit. The predictive calculation unit outputs a component signal or a transformed component signal based on the predictive tap and the predictive coefficient.

Abstract: JPEG encoded data are entropy-decoded to quantized DCT coefficients which are sent to a prediction tap extraction circuit (41) and to a class tap extraction circuit (42). The prediction tap extraction circuit (41) and the class tap extraction circuit (42) extract what is needed from the quantized DCT coefficients to form prediction taps and class taps. A classification circuit (43) effects classification based on the class taps. A coefficient table storage unit (44) sends tap coefficients corresponding to the classes resulting from the classification to a sum of products circuit (45), which sum of products circuit (45) then effects linear predictive calculations, using the tap coefficients and the class taps, to generate decoded picture data.

Abstract: A simplified Y/C separation circuit in which, a plurality of luminance signals are calculated for the subject pixel based on an NTSC signal of the subject pixel and NTSC signals of pixels that are close to the subject pixel spatially or temporally. Correlations between the plurality of luminance signals are obtained in a difference circuit and a comparison circuit. In a classification circuit, classification is performed, that is, the subject pixel is classified as belonging to a certain class, based on the correlations between the plurality of luminance signals. Prediction coefficients corresponding to the class of the subject pixel are read out from a prediction coefficients memory section. The RGB luminance signals of the subject pixel are then determined by calculating prescribed linear first-order formulae.

Abstract: A signal recording and reproduction apparatus and method for a recording medium, wherein when an eject button is depressed, a video sub-code (VSC) area where no information is recorded is retrieved from the VSC areas near the position of the end of the reproduction operation of the medium. The index information recorded in an index information memory is recorded in that retrieved VSC area. When information on the medium is to be reproduced after that, the index information is read from the VSC area near the position of the end of the previous reproduction operation for the heading operation.