摘要:
A motion-setting section (61) sets a motion amount and a motion direction for obtaining processing coefficients. A student-image-generating section (62) generates student images obtained by adding a motion blur to a teacher image not only based on the set motion amount and the set motion direction but also by changing at least one of the motion amount and motion direction in a specific ratio and student images obtained by adding no motion blur to the teacher image. A prediction-tap-extracting section (64) extracts, in order to extract a main term that mainly contains component of the target pixel, at least a pixel value of pixel in the student image whose space position roughly agrees with space position of the target pixel in the teacher image. A processing-coefficient-generating section (65) generates processing coefficients for predicting the target pixels in the teacher images from the pixel values of extracted pixels based on a relationship between the pixels thus extracted and the target pixels in the teacher images. The processing coefficients that are suitable for any motion blur removing which is robust against any shift of the motion vector can be generated through learning.
摘要:
A motion vector detecting apparatus includes a first generation unit that generates a first evaluation value table from an image signal of a first level, a second generation unit that generates a second evaluation value table from an image signal of a second level higher than the first level, a correction unit that corrects the first evaluation value table on the basis of the second evaluation value table, a first extraction unit that extracts first candidate vectors using the first evaluation value table, a second extraction unit that extracts second candidate vectors using the corrected first evaluation value table, and a detection unit that detects a motion vector from the first and second candidate vectors.
摘要:
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. Accordingly, motion estimation can be performed in a small search region equivalent to a large search region having been generally used for motion estimation, to realize high-speed, high-efficient motion estimation and improve the estimation accuracy.
摘要:
A 525i (interlace) signal can be converted into a 1050i signal or a 525p (progressive) signal. A calculating circuit generates pixels of an output picture signal with a linear estimation expression of predictive taps received from a tap selecting circuit and a coefficient received from a coefficient memory. The coefficient memory stores coefficients pre-obtained for individual classes. A class is determined by combining a spatial class corresponding to spatial class taps received from a tap selecting circuit and motion class taps received from a tap selecting circuit. A line sequential converting circuit converts a scanning line structure of an output signal of the calculating circuit 34 and obtains an output picture signal. The output picture signal is designated with a conversion method selection signal. Information corresponding to the selection signal is loaded from an information memory bank to the coefficient memory and registers.
摘要:
A coefficient learning apparatus includes: a student-image generation section configured to generate a student image from the teacher image; a class classification section configured to sequentially set each of pixels in the teacher image as a pixel of interest and generate a class for the pixel of interest from the values of a plurality of specific pixels; a weight computation section configured to add up feature quantities; and a processing-coefficient generation section configured to generate a prediction coefficient on the basis of a determinant including said deterioration equation and a weighted constraint condition equation.
摘要:
A motion-vector-setting section (31) sets a motion vector in units of pixel in a target image. Based on the motion vector, a target-pixel-setting section (35) sets a target pixel for each image in plural images to be processed. A motion-blur-amount-setting section (33) sets a motion blur amount in units of pixel based on the motion vector and the exposure-time ratio set in units of image in the exposure-time-ratio-setting section (32). A processing-region-setting section (36) sets processing regions corresponding to the target pixel for each of the plural images based on the motion blur amount. A processing-coefficient-setting section (37) sets processing coefficients based on the motion blur amount. A pixel-value-generating section (38) generates motion-blur-removed pixel values that correspond to the target pixel by linear combination of pixel values corresponding to pixels in the processing region and the processing coefficients, so that they can be output from an integration section (39) as one pixel value. By utilizing any time-directional information significantly, motion-blur-removing processing can be accurately performed.
摘要:
A coefficient learning apparatus includes: a student-image generation section configured to generate a student image from the teacher image; a class classification section configured to sequentially set each of pixels in the teacher image as a pixel of interest and generate a class for the pixel of interest from the values of a plurality of specific pixels; a weight computation section configured to add up feature quantities; and a processing-coefficient generation section configured to generate a prediction coefficient on the basis of a determinant including said deterioration equation and a weighted constraint condition equation.
摘要:
A motion-vector-setting section (31) sets a first motion vector in units of pixel in a target image. An exposure-time-ratio-setting section (32) sets in units of image an exposure time ratio that is a ratio between a time interval of the target image and a period of exposure time. A motion-blur-amount-setting section (33) sets a motion blur amount in units of pixel based on the exposure time ratio and the first motion vector. Based on the motion amount, a processing-region-setting section (36) sets processing regions as well as a processing-coefficient-setting section (37) sets processing coefficients. A pixel-value-generating section (38) generates pixel values that correspond to the target pixel from pixel values in the processing region and the processing coefficients. A motion-blur-adding section (41) adds a motion blur to an image containing the pixel value generated based on an input second motion vector and the first motion vector. An image-moving section (42) moves the motion-blur-added image along a counter vector of the second motion vector. Any more real arbitrary viewpoint image can be generated.
摘要:
A digital signal processing method and learning method and devices therefor, and a program storage medium which are capable of further improving the waveform reproducibility of a digital signal. Self correlation coefficients are calculated by cutting parts out of the digital signal by multiple windows having different sizes, and the parts are classified based on the calculation results of the self correlation coefficients. Then, the digital signal is converted by the prediction method corresponding to the classified class, so that the conversion further suitable for the features of the digital signal can be conducted.
摘要:
A picture information converting apparatus for generating a plurality of output picture signals. The apparatus includes first data selecting means; second data selecting means; memory means for storing a pre-obtained estimation expression coefficient; pixel value generating means for generating the first pixel with the second pixels selected by the first data selecting means and a linear estimation expression of the estimation expression coefficient; class determining means for generating class information corresponding to the third pixels selected by the second data selecting means and supplying the estimation expression coefficient to the pixel value generating means corresponding to the class information; scanning line structure converting means, connected to the pixel value generating means, for converting a conversion picture to a designated scanning line structure; and controlling means for receiving a control signal that designates a scanning line structure of the output picture signal and for switching over at least one of the estimation expression coefficient, the second pixels selected by the first data selecting means and the third pixels selected by the second data selecting means, corresponding to the control signal.