Abstract: A signal processing apparatus includes a generator operable to generate a second image signal by converting a first image signal into the second image signal; a calculation unit operable to calculate a correction amount based on an evaluation of the second image signal relative to the first image signal; and a correction unit operable to correct the second image signal based on the correction amount.

Abstract: A coefficient-data generating apparatus generates coefficient data of an estimating equation used to convert a first information signal including pieces of information data into a second information signal including pieces of information data. The coefficient-data generating apparatus includes a determining unit determining whether a subject point in a second learning signal corresponding to the second information signal is a feature point having a predetermined feature; a data selector selecting pieces of information data at adjacent points of the subject point in the second learning signal, based on a first learning signal corresponding to the first information signal; and a calculator calculating the coefficient data using information data at the subject point in the second learning signal, the subject point being determined as the feature point by the determining unit, and the pieces of information data selected in association with the subject point by the data selector.

Abstract: A pattern matching section compares reference taps supplied by one area extracting section with a reference tap component of a training pair pre-stored in a training-pair storing section, selects a training pair including a reference tap component having highest similarity to the reference taps, and supplies the selected training pair to a normal-equation generating section. Training pairs stored in the training-pair storing section include a SD signal and HD signal. A prediction-coefficient determining section obtains prediction coefficients by solving normal equations generated by the normal-equation generating section. A prediction calculating section produces a HD signal by applying the prediction coefficients to prediction taps extracted by another area extracting section.

Abstract: A class configuration generation unit generates (n?1) number of class configurations each of which is comprised of i number of the already selected features plus a feature selected from the remaining (n?i) number of the features (both of n and i are integers). A class configuration selection unit selects an optimal class configuration from the (n?i) number of the class configurations using an arbitrary evaluation value. The features used in the class configuration selected by the selection unit are used as the already selected features in the generation unit. The operations by the generation unit and the selection unit are repeated ID with values of i sequentially varying from 0 to r?1, thereby generating a class configuration comprised of r number of the features.

Abstract: Standard Definition signals are divided into blocks at a tap extracting unit, and pixel data contained in each block is extracted as a class tap. A class classification unit obtains class code based on the pixel data contained in the class tap. An auxiliary data generating unit generates auxiliary data regarding conversion into High Definition signals, based on the class tap extracted by the tap extracting unit. A data generation processing unit performs processing based on the class code and the auxiliary data, thereby yielding excellent High Definition signals.

Abstract: The present invention relates to a signal processing apparatus and method, a recording medium, and a program, in which a more preferable class can be easily selected. A region extracting unit 151 extracts a class tap from an input composite video signal, and pattern detecting units 152 to 154 detect patterns for classes by using different predetermined methods. A class-code determining unit 155 determines a class based on information from an evaluation table 156, and a coefficient memory 157 supplies a predictive coefficient corresponding to the class to a predictive computing unit 159. The predictive computing unit 159 performs predictive computing based on a predictive tap supplied from a region extracting unit 158 and the predictive coefficient supplied from the coefficient memory 157, so that a component Y signal is generated and is output therefrom. The present invention can be applied to a television receiver.

Abstract: A semiconductor device and an image data processing apparatus are capable of easily realizing address control, simplifying a circuit for address control, and easily realizing access to image data while reducing the volumes of pieces of image data of different resolutions in different hierarchies. In the image data processing apparatus, a memory cell array stores pieces of composite data, each containing a piece of pixel data and additional information data, for example, a motion vector associated with the pixel data. A designated pixel data and a motion vector associated with the pixel data are read out and a search region is suitably predicted and set up on the basis of the motion vector, and motion estimation is performed in the search region, for example, by a block matching process.

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: The absolute value of the difference between each of the pairs of pixel values of a target pixel and an upper pixel with respect to the target pixel, a pixel that is left-adjacent to the target pixel and an upper pixel with respect to the left-adjacent pixel, the left-adjacent pixel and a lower pixel with respect to the left-adjacent pixel, a pixel that is right-adjacent to the target pixel and an upper pixel with respect to the right-adjacent pixel, and the right-adjacent pixel and a lower pixel with respect to the right-adjacent pixel is obtained. A “1” is assigned if the absolute value of the difference is greater than or equal to a predetermined threshold value whereas a “0” is assigned if the absolute value of the difference is smaller than the predetermined threshold value, forming a pattern having six bits in total.

Abstract: An NTSC signal is supplied to a first area extracting circuit and a second area extracting circuit. The first area extracting circuit extracts class taps from the NTSC signal. The second area extracting circuit extracts predictive taps from the NTSC signal. The first area extracting circuit extracts pixels in predetermined positions from same phase pixels as a considered pixel. Based on level differences between extracted pixels, a pattern detecting section performs a class categorization. A class code determining section generates class codes based on the result of the class categorization and supplies the generated class codes to a coefficient memory. The coefficient memory outputs pre-stored predictive coefficients based on the class codes to a predictive calculating section.