摘要:
A device generates coefficient data of an estimating equation for converting a first information signal to a second information signal. The device performs decimation on a teacher signal to generate a student signal and acquires plural training data items from the teacher signal corresponding to the second information signal and the student signal corresponding to the first information signal. For each training data item, a similarity determination unit acquires the similarity of the student signal with respect to the first information signal corresponding to a second information signal at a position of interest. Coefficient seed data, which are coefficient data of a generation equation including the similarity as a parameter, are determined using the training data items and the similarity. A coefficient data computing unit determines, based on the generation equation, coefficient data of the estimating equation using the coefficient seed data and a similarity value indicating the highest similarity.
摘要:
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.
摘要:
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 with values of i sequentially varying from 0 to r−1, thereby generating a class configuration comprised of r number of the features.
摘要:
This invention relates to an apparatus for processing an information signal etc. that, when converting, for example, SD signal into HD signal, enables well to be obtained pixel data of HD signal no matter whether the dynamic range DR is large or small. DR in a class tap is detected. If DR≧Th, items of pixel data y1-a−y4-a calculated by using item of coefficient data Wi-a corresponding to a class code Ca are estimated as items of pixel data of HD signal. If DR
摘要:
A device generates coefficient data of an estimating equation for converting a first information signal to a second information signal. The device performs decimation on a teacher signal to generate a student signal and acquires plural training data items from the teacher signal corresponding to the second information signal and the student signal corresponding to the first information signal. For each training data item, a similarity determination unit acquires the similarity of the student signal with respect to the first information signal corresponding to a second information signal at a position of interest. Coefficient seed data, which are coefficient data of a generation equation including the similarity as a parameter, are determined using the training data items and the similarity. A coefficient data computing unit determines, based on the generation equation, coefficient data of the estimating equation using the coefficient seed data and a similarity value indicating the highest similarity.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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 with values of i sequentially varying from 0 to r−1, thereby generating a class configuration comprised of r number of the features.
摘要:
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 with values of i sequentially varying from 0 to r−1, thereby generating a class configuration comprised of r number of the features.