Abstract:
PROBLEM TO BE SOLVED: To predict an image with higher image quality by acquiring information indicative of a continuous region which is present around an attentional pixel. SOLUTION: A prediction tap extraction section 61 extracts from first image data a prediction tap used for predictive calculation for predicting the attentional pixel of second image data, a matching position acquisition section 65 acquires a matching position representing a position at which a matching block most similar to a reference block is present from a matching range representing a range in which a plurality of pixels constituting a first image are present, and a direction class sorting section 66 sorts the pixel of interest into one of a plurality of direction classes on the basis of the matching position. A coefficient ROM 67 outputs a prediction coefficient corresponding to the direction class of the pixel of interest from among prediction coefficients calculated beforehand by learning, and a predictive calculation section 68 predicts the attentional pixel in the second image data by predictive calculation using the output prediction coefficient and a plurality of pixels constituting the extracted prediction tap. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide an apparatus and method for realizing improvement of a compression rate and enhancement of image quality in coding of data with a plurality of signal components. SOLUTION: The correlation of signal components of data having a plurality of the signal components is obtained and coded data sharing a quantization code, or a minimum value, or a dynamic range of the signal component discriminated of presence of the correlation are produced. The propriety of sharing is discriminated by verifying S/N as a difference between a decoded pixel value and an original pixel value in the case of sharing the quantization code, or comparing quantization codes/bit patterns of each signal component, or comparing the standard deviation and the dynamic range of each signal component or comparing the standard deviation and the average, the sharing of the minimum value or the dynamic range or the quantization code is performed only for the components with high correlation. COPYRIGHT: (C)2003,JPO
Abstract:
PROBLEM TO BE SOLVED: To generate an image signal having high resolution higher than that in the prior art, and also generate an image signal in which linking is reduced, when converting an image from an input image to an output image. SOLUTION: A feature value class classifying part 233 computes a position relation between a pixel of interest among a group of pixels forming the horizontal waveform of the input image and an edge region included in the waveform as a phase in order to convert the image from the input image to the output image, and classifies the pixel of interest based on the phase. A sum of product operation part 240 predictively operates pixels forming the output image by using a prediction coefficient specified by the feature value of the pixel of interest classified by the feature value class classifying part 233 and a group of data of pixels including the pixel of interest in the input image. This invention can be applied for example to an image conversion device. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To generate an image signal whose slanting line is smoothly reproduced when IP (interlace progressive) conversion is applied to it. SOLUTION: An input part 81 inputs an image, as an input image, whose noted line is thinned out. A class classification part 84 classifies each picture element that composes a noted line in an image, as an output image, where the thinning of a noted line is not made. An identical class determination part 86 computes intervals M and N showing a positional relationship between a set of picture element groups classified into a class identical with noted picture elements of a noted line and the noted picture elements. A class sorting part 87 sorts noted picture elements into classes based on the intervals M and N. A product-sum operation part 91 performs forecasting calculation on the noted picture elements using forecasting coefficients identified based on respective classes of noted picture elements classified by the class classification part 84 and class sorting part 87 and a forecasting tap in the input images having a predefined positional relationship with the noted picture elements, thus outputting an output image as a forecasting calculation result. The invention is applicable to image conversion equipment. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To predict an image of higher image quality by acquiring a waveform pattern in a class tap accurately. SOLUTION: A prediction tap extracting portion 31 extracts a prediction tap to be used for a prediction operation to predict a remarkable pixel which is a pixel to be noticed in a second image data, an adjacent waveform classifying portion 33 classifies the remarkable pixel as a first class based on a plurality of pixels constituting an adjacent waveform class tap extracted by an adjacent tap extracting portion 32, a wide-band waveform class classifying portion 35 classifies the remarkable pixel as a second class based on a plurality of pixels constituting a wide-band waveform class tap extracted by a wide-band tap extracting portion 34, a coefficient ROM 36 outputs a prediction coefficient corresponding to a combination of the first class and the second class, and a prediction operating portion 37 calculates the remarkable pixel of the second image data by the prediction operation which uses the output prediction coefficient and a plurality of pixels constituting the prediction tap. This invention is applied to a television receiving set, for example. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To generate more beautiful and natural image. SOLUTION: An area extraction unit 111 extracts a class tap from an input SD signal, and a pattern detection unit 112 and a class code determination unit 113 determine a class code. A waveform characteristic quantity calculation unit 117 generates a vector whose elements take respective values obtained based on the differences between respective luminance values of the pixels that constitute the supplied class tap and respective luminance values, which are stored beforehand as values of a plurality of kinds for every class code and are of the pixels that constitute the class tap. A prediction coefficient generation unit 118 generates weight using the generated vector and weights the coefficients, which are stored beforehand as values of the plurality of kinds for every class code and correspond to respective pixels that constitute the prediction tap, to generate final prediction coefficients. A prediction calculation unit 116 generates an HD signal by calculating a linear first-order expression in which the prediction coefficients supplied from the prediction coefficient generation unit 118 are used for the prediction tap extracted by the area extraction unit 115. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To process adaptively even edited material, to obtain a statistically certain processing result as a processing result of the processing, and to reduce a user's manipulated variable or to suppress rapture or unnatural emphasis as a result. SOLUTION: A learning unit 21 and an output image generating unit 22 perform input energy classification as follows. Namely, such classification is performed that, when sharpness of a waveform in an edge part of an image is defined as a feature amount, a plurality of classes are provided in accordance with degrees of the feature amount, each of pixels constituting data Sa, Sb, Sc of SD or data I is defined as an attention pixels, and the attention pixel is sorted into any one of the plurality of classes on the basis of the feature amount. The present invention may be applicable to a system for applying resolution improving processing to edited material, for example. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide an image processing apparatus, image processing method, and program for generating an image with higher image quality. SOLUTION: A band determination units 12 1 to 12 3 determines signal bands of a plurality of component signals constituting first image data. Based on a determination result of the signal bands, a classification unit 13 determines a correlation among the plurality of component signals. Based on a combination of the determination result of the signal bands of the plurality of component signals and the correlation among the plurality of component signals, as a tap to be used for predictive operation for predicting a pixel of interest that is a pixel to which attention is payed in second image data, a tap shape in extracting a plurality of pixels, including corresponding pixels of the first image data, corresponding to the pixel of interest and being present around the corresponding pixel, from the plurality of component signals is determined for each of the plurality of component signals and the tap is used for classifying the pixel of interest. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To predict an image having higher quality. SOLUTION: A prediction tap extracting section 30 extracts a prediction tap and a level limit class tap, a peak level direction class tap extracting section 31 extracts a peak level direction class tap, and a waveform class tap extracting section 32 extracts a waveform class tap, respectively. A level component class classifying section 33 classifies a target pixel into any one of a plurality of level component classes based on the peak level direction class tap and the level limit class tap. The waveform pattern class classifying section 34 classifies the target pixel into any one of the plurality of waveform pattern classes based on the waveform class tap. A coefficient ROM 35 outputs a prediction coefficient corresponding to a combination of the level component class of the target pixel and the waveform pattern class of the target pixel. A prediction calculating section 36 predicts the target pixel based on prediction calculation of the prediction coefficient and the prediction tap. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To economize the capacity of a memory storing coefficient class data. SOLUTION: A class is detected from pixel data of a plurality of taps selectively fetched from an SD signal to obtain the class code CL of the target pixel of an HD signal. A memory bank 135 stores coefficient class data of each class. A coefficient generation circuit 136 generates coefficient data Wi (i=1 to n) of an estimated equation, corresponding to each estimated tap position in each class with a generation expression, including parameters (x) and (y) designating the position of an estimated tap and image quality adjustment parameters (h) and (v), on the basis of the coefficient class data of each class the parameters (h) and (v) through user operation and stores the coefficient data Wi in a memory 134. An arithmetic circuit 127 calculates the pixel data of the target pixel of the HD signal from pixel data xi of a plurality of estimated taps selectively fetched from the SD signal and the coefficient data Wi, corresponding to the code CL from the memory 134 by using the estimated equation.