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    • 1. 发明专利
    • Image processing apparatus, image processing method, learning device, learning method and program
    • 图像处理设备,图像处理方法,学习设备,学习方法和程序
    • JP2009224848A
    • 2009-10-01
    • JP2008064220
    • 2008-03-13
    • Sony Corpソニー株式会社
    • FUKAZAWA KENTAROMORIMURA TAKUOYAMADA SHINOBUNAGANO KOSUKEMORI HIDEKIAOKI HIRONARIKAN YASUHIKOHARASAKI SHUNSUKEINOMATA SEIICHIKONDO TETSUJIRO
    • H04N7/01G06T3/40H04N1/387
    • G06T5/001G06T5/20G06T2207/20012
    • 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
    • 要解决的问题:预测具有较高质量的图像。 解决方案:预测抽头提取部分30提取预测抽头和电平限制类别抽头,峰值电平方向类别抽头提取部分31提取峰值电平方向类别抽头,并且波形类别抽头提取部分32提取波形 分类龙头。 电平分量类分类部分33基于峰值电平方向类别抽头和电平限制类别抽头将目标像素分类为多个电平分量类别中的任何一个。 波形图案类别分类部分34基于波形类别抽头将目标像素分类为多个波形图样类别中的任何一个。 系数ROM35输出与目标像素的电平分量类别和目标像素的波形图案类别的组合相对应的预测系数。 预测计算部36基于预测系数和预测抽头的预测计算来预测目标像素。 版权所有(C)2010,JPO&INPIT
    • 3. 发明专利
    • Information processing apparatus and method, and program
    • 信息处理装置和方法及程序
    • JP2009239826A
    • 2009-10-15
    • JP2008086142
    • 2008-03-28
    • Sony Corpソニー株式会社
    • AOKI HIRONARIMORIMURA TAKUOYAMADA SHINOBUNAGANO KOSUKEFUKAZAWA KENTAROMORI HIDEKIKAN YASUHIKOHARASAKI SHUNSUKEINOMATA SEIICHIKONDO TETSUJIRO
    • H04N7/01G06T3/40G06T5/20H04N1/387
    • G06T3/403
    • PROBLEM TO BE SOLVED: To allow to generate image signals with resolution higher than existing ones during high double density conversion and also to generate image signals with suppressed ringing. SOLUTION: An apparatus generates an ADRC class (S43) for an input image signal (S41). The apparatus generates a phase shift waveform with phases shifted relative to the input waveform for each ADRC class, obtains correlation with a base waveform (S45), and generates a characteristic amount class according to a characteristic amount based on the correlation. The apparatus generates a class code from the ADRC class and the characteristic amount class (S47), and maps from a predictive coefficient corresponding to the class code and data of predictive tap (S49). The invention can be applied to a system for applying, for example, a resolution enhancement processing. COPYRIGHT: (C)2010,JPO&INPIT
    • 要解决的问题:为了在高双密度转换期间产生具有高于现有分辨率的分辨率的图像信号,并且还产生具有抑制振铃的图像信号。 解决方案:设备为输入图像信号生成ADRC类(S43)(S41)。 该装置产生相移相对于每个ADRC类别的输入波形的相移波形,获得与基本波形的相关性(S45),并且基于相关性产生根据特征量的特征量等级。 该设备从ADRC类和特征量等级(S47)生成类代码,并且从与类别代码和预测抽头的数据相对应的预测系数映射(S49)。 本发明可以应用于例如分辨率增强处理的系统。 版权所有(C)2010,JPO&INPIT
    • 5. 发明专利
    • Image processing apparatus, image processing method, learning device, learning method, and program
    • 图像处理设备,图像处理方法,学习设备,学习方法和程序
    • JP2009268021A
    • 2009-11-12
    • JP2008118397
    • 2008-04-30
    • Sony Corpソニー株式会社
    • YAMADA SHINOBUMORIMURA TAKUONAGANO KOSUKEMORI HIDEKIFUKAZAWA KENTAROAOKI HIRONARIHARASAKI SHUNSUKEKAN YASUHIKOINOMATA SEIICHIKONDO TETSUJIRO
    • H04N7/01G06T3/40
    • 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
    • 要解决的问题:通过获取指示出现在注意像素周围的连续区域的信息来预测具有更高图像质量的图像。 解决方案:预测抽头提取部分61从第一图像数据中提取用于预测第二图像数据的注意像素的预测计算的预测抽头,匹配位置获取部分65获取表示匹配的位置的匹配位置 从表示其中存在构成第一图像的多个像素的范围的匹配范围存在与参考块最相似的块,并且方向类别排序部66将感兴趣的像素分成多个方向类中的一个, 匹配位置的基础。 系数ROM67从通过学习预先计算的预测系数中输出与感兴趣像素的方向类别相对应的预测系数,并且预测计算部68通过使用输出预测系数的预测计算来预测第二图像数据中的注意像素 以及构成所提取的预测抽头的多个像素。 版权所有(C)2010,JPO&INPIT
    • 7. 发明专利
    • Device and method for processing image, and program
    • 用于处理图像和程序的设备和方法
    • JP2009253873A
    • 2009-10-29
    • JP2008102105
    • 2008-04-10
    • Sony Corpソニー株式会社
    • AOKI HIRONARIMORIMURA TAKUOYAMADA SHINOBUNAGANO KOSUKEFUKAZAWA KENTAROMORI HIDEKIKAN YASUHIKOHARASAKI SHUNSUKEINOMATA SEIICHIKONDO TETSUJIRO
    • H04N7/01G06T3/40H04N1/387
    • 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
    • 要解决的问题:为了生成比现有技术高的分辨率的图像信号,并且当将图像从输入图像转换为输出图像时,还生成缩小链接的图像信号。 解决方案:特征值类分类部分233计算形成输入图像的水平波形的像素组和波形中包括的边缘区域之间的关注像素之间的关系像素之间的位置关系,以便将 从输入图像到输出图像的图像,并且基于相位对感兴趣的像素进行分类。 产品操作部240的和通过使用由特征值分类部分233分类的感兴趣像素的特征值指定的预测系数和包括感兴趣像素的像素的数据组来预测地操作形成输出图像的像素 在输入图像中。 本发明可以应用于例如图像转换装置。 版权所有(C)2010,JPO&INPIT
    • 8. 发明专利
    • Image processor, its method, and its program
    • 图像处理器,其方法及其程序
    • JP2009252021A
    • 2009-10-29
    • JP2008100452
    • 2008-04-08
    • Sony Corpソニー株式会社
    • AOKI HIRONARIMORIMURA TAKUOYAMADA SHINOBUNAGANO KOSUKEFUKAZAWA KENTAROMORI HIDEKIKAN YASUHIKOHARASAKI SHUNSUKEINOMATA SEIICHIKONDO TETSUJIRO
    • G06T3/40
    • 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
    • 要解决的问题:为了生成当应用IP(隔行逐行)转换时,其倾斜线平滑地再现的图像信号。

      解决方案:输入部分81输入作为输入图像的图像,其注释线被稀疏化。 类分类部分84将构成图像中的所述线的每个图像元素分类为输出图像,其中未进行所述线的变薄。 相同的类确定部件86计算间隔M和N,该间隔M和N表示分类为与所述线条的所述图像元素相同的类的一组图像元素组与所述图像元素之间的位置关系。 类别排序部分87基于间隔M和N将所标注的图像元素分类成类。乘积和运算部分91使用基于由类别分类的所标记的图像元素的各个类别所识别的预测系数来对所述图像元素进行预测计算 分类部分84和分类部分87以及与所述图像元素具有预定位置关系的输入图像中的预测抽头,从而输出输出图像作为预测计算结果。 本发明适用于图像转换设备。 版权所有(C)2010,JPO&INPIT

    • 9. 发明专利
    • Image processor, image processing method, learning apparatus, learning method, and program
    • 图像处理器,图像处理方法,学习设备,学习方法和程序
    • JP2009182936A
    • 2009-08-13
    • JP2008022710
    • 2008-02-01
    • Sony Corpソニー株式会社
    • FUKAZAWA KENTAROMORIMURA TAKUOYAMADA SHINOBUNAGANO KOSUKEMORI HIDEKIAOKI HIRONARISUGA YASUHIKOHARASAKI SHUNSUKEINOMATA SEIICHIKONDO TETSUJIRO
    • H04N7/01G06T3/40
    • 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
    • 要解决的问题:通过精确地获取类别抽头中的波形图案来预测更高图像质量的图像。 解决方案:预测抽头提取部分31提取用于预测操作的预测抽头以预测作为第二图像数据中要注意的像素的显着像素,相邻波形分类部分33将显着像素 作为基于由相邻抽头提取部分32提取的构成相邻波形类别抽头的多个像素的第一类,宽带波形类分类部分35基于构成第一类的多个像素将该显着像素分类为第二类 由宽带抽头提取部分34提取的宽带波形分类抽头,系数ROM36​​输出与第一类和第二类的组合相对应的预测系数,并且预测运算部37计算出 通过使用输出预测系数的预测操作和构成预测抽头的多个像素的第二图像数据。 本发明例如适用于电视接收机。 版权所有(C)2009,JPO&INPIT
    • 10. 发明专利
    • Apparatus and method for image processing, apparatus and method for learning, program, and recording medium
    • 用于图像处理的装置和方法,用于学习,编程和记录介质的装置和方法
    • JP2009278554A
    • 2009-11-26
    • JP2008129942
    • 2008-05-16
    • Sony Corpソニー株式会社
    • MORIMURA TAKUOYAMADA SHINOBUNAGANO KOSUKEFUKAZAWA KENTAROMORI HIDEKIAOKI HIRONARIINOMATA SEIICHIKAN YASUHIKOHARASAKI SHUNSUKEKONDO TETSUJIRO
    • H04N7/01G06T3/40
    • 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
    • 要解决的问题:产生更美丽自然的图像。 解决方案:区域提取单元111从输入的SD信号中提取类别抽头,并且模式检测单元112和类别代码确定单元113确定类代码。 波形特征量计算单元117生成一个向量,该元素取各自根据构成所提供的类别抽头的像素的各个亮度值和各个亮度值之间的差值获得的各个值,这些值预先存储为多种 每个类代码都是构成类别抽头的像素。 预测系数生成单元118使用所生成的矢量来生成加权,并对作为各种代码的多种的值预先存储的系数进行加权,并对应于构成预测抽头的各个像素,生成最终的预测系数。 预测计算单元116通过计算从预测系数生成单元118提供的预测系数用于由区域提取单元115提取的预测抽头的线性一阶表达式来生成HD信号。COPYRIGHT :(( C)2010,JPO&INPIT