公开(公告)号：US20110242418A1

公开(公告)日：2011-10-06

申请号：US13053573

申请日：2011-03-22

申请人： Kenichiro Hosokawa ,  Masashi Uchida

发明人： Kenichiro Hosokawa ,  Masashi Uchida

IPC分类号： G06K9/40 ,  H04N5/14

CPC分类号： G06T5/003 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20021

摘要： In an image processing apparatus, a min-max pixel difference value computing unit computes the difference between the maximum and minimum pixel values in a first image portion including a target pixel and neighbor pixels. A maximum adjacent pixel difference value computing unit computes the maximum value among the difference values between adjacent pixels in the first image portion. An image change feature value computing unit computes a feature value corresponding to the suddenness of image change in the first image portion. A filter coefficient computing unit computes filter coefficients. A sharpen filter accepts, as input, pixels forming a second image portion including the same target pixel as the first image portion and neighbor pixels, and computes an output pixel value for the target pixel.

摘要翻译： 在图像处理装置中，最小 - 最大像素差值计算单元计算包括目标像素和相邻像素的第一图像部分中的最大和最小像素值之间的差。 最大相邻像素差值计算单元计算第一图像部分中相邻像素之间的差值中的最大值。 图像改变特征值计算单元计算与第一图像部分中的图像变化突然性相对应的特征值。 滤波器系数计算单元计算滤波器系数。 锐化滤波器作为输入接收形成包括与第一图像部分和相邻像素相同的目标像素的第二图像部分的像素，并且计算目标像素的输出像素值。

公开(公告)号：US07881539B2

公开(公告)日：2011-02-01

申请号：US11686017

申请日：2007-03-14

申请人： Tetsujiro Kondo ,  Masashi Uchida ,  Yasuhiko Suga ,  Kenichiro Hosokawa

发明人： Tetsujiro Kondo ,  Masashi Uchida ,  Yasuhiko Suga ,  Kenichiro Hosokawa

IPC分类号： G06K9/48

CPC分类号： G06K9/00456 ,  G06K9/00624 ,  G06K9/4638

摘要： An image processing apparatus includes the following elements. A broad-range feature extraction unit extracts broad-range features from pixels located in a predetermined area in relation to a subject pixel of a first image. A broad-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the broad-range features, the broad-range degree of artificiality from the positional relationship of the broad-range features to a statistical distribution range of an artificial image of the first image. A narrow-range feature extraction unit extracts narrow-range features from pixels located in the predetermined area in relation to the subject pixel of the first image. A narrow-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the narrow-range features, the narrow-range degree of artificiality from the positional relationship of the narrow-range features to a statistical distribution range of the artificial image. A degree-of-artificiality calculator calculates the degree of artificiality of the subject pixel.

摘要翻译： 图像处理装置包括以下要素。 宽范围特征提取单元从位于与第一图像的主题像素相关的预定区域中的像素提取宽范围特征。 广泛的人工程度计算器在宽范围特征所表示的多维空间中计算出从广泛特征的位置关系到人造图像的统计分布范围的广泛程度的人造 的第一个图像。 窄范围特征提取单元相对于第一图像的主题像素从位于预定区域中的像素提取窄范围特征。 窄范围人工度计算器在由窄范围特征表示的多维空间中，根据窄范围特征的位置关系到人造图像的统计分布范围来计算窄范围的人造度 。 人工度计算器计算被摄体像素的人造度。

公开(公告)号：US08314890B2

公开(公告)日：2012-11-20

申请号：US13053573

申请日：2011-03-22

申请人： Kenichiro Hosokawa ,  Masashi Uchida

发明人： Kenichiro Hosokawa ,  Masashi Uchida

IPC分类号： H04N5/00

CPC分类号： G06T5/003 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20021

摘要： In an image processing apparatus, a min-max pixel difference value computing unit computes the difference between the maximum and minimum pixel values in a first image portion including a target pixel and neighbor pixels. A maximum adjacent pixel difference value computing unit computes the maximum value among the difference values between adjacent pixels in the first image portion. An image change feature value computing unit computes a feature value corresponding to the suddenness of image change in the first image portion. A filter coefficient computing unit computes filter coefficients. A sharpen filter accepts, as input, pixels forming a second image portion including the same target pixel as the first image portion and neighbor pixels, and computes an output pixel value for the target pixel.

摘要翻译： 在图像处理装置中，最小 - 最大像素差值计算单元计算包括目标像素和相邻像素的第一图像部分中的最大和最小像素值之间的差。 最大相邻像素差值计算单元计算第一图像部分中相邻像素之间的差值中的最大值。 图像改变特征值计算单元计算与第一图像部分中的图像变化突然性相对应的特征值。 滤波器系数计算单元计算滤波器系数。 锐化滤波器作为输入接收形成包括与第一图像部分和相邻像素相同的目标像素的第二图像部分的像素，并且计算目标像素的输出像素值。

公开(公告)号：US20120275691A1

公开(公告)日：2012-11-01

申请号：US13448702

申请日：2012-04-17

申请人： Kenichiro HOSOKAWA ,  Masashi Uchida

发明人： Kenichiro HOSOKAWA ,  Masashi Uchida

IPC分类号： G06K9/62 ,  G06K9/46

CPC分类号： G06K9/00442 ,  G06K9/00456 ,  G06T5/003 ,  G06T2207/20012 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20192 ,  H04N1/40062

摘要： A feature-quantity extraction unit extracts a feature quantity of a target pixel of a student image. The target pixel is classified into a predetermined class. Natural-image processing of the target pixel is performed. Artificial-image processing of the target pixel is performed. A sample of a normal equation is generated using a pixel value of the target pixel subjected to the natural-image processing, a pixel value of the target pixel subjected to the artificial-image processing, a pixel value of a target pixel of a teacher image, and a predetermined mixing coefficient for each class. The mixing coefficient is calculated on the basis of a plurality of generated samples.

摘要翻译： 特征量提取单元提取学生图像的目标像素的特征量。 目标像素被分类为预定类别。 执行目标像素的自然图像处理。 执行目标像素的人造图像处理。 使用经过自然图像处理的目标像素的像素值，进行人工图像处理的目标像素的像素值，教师图像的目标像素的像素值，生成正常方程式的样本 ，以及每个等级的预定混合系数。 基于多个生成的样本计算混合系数。

公开(公告)号：US20080013835A1

公开(公告)日：2008-01-17

申请号：US11686017

申请日：2007-03-14

申请人： Tetsujiro Kondo ,  Masashi Uchida ,  Yasuhiko Suga ,  Kenichiro Hosokawa

发明人： Tetsujiro Kondo ,  Masashi Uchida ,  Yasuhiko Suga ,  Kenichiro Hosokawa

IPC分类号： G06K9/48 ,  G06K9/62

CPC分类号： G06K9/00456 ,  G06K9/00624 ,  G06K9/4638

摘要： An image processing apparatus includes the following elements. A broad-range feature extraction unit extracts broad-range features from pixels located in a predetermined area in relation to a subject pixel of a first image. A broad-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the broad-range features, the broad-range degree of artificiality from the positional relationship of the broad-range features to a statistical distribution range of an artificial image of the first image. A narrow-range feature extraction unit extracts narrow-range features from pixels located in the predetermined area in relation to the subject pixel of the first image. A narrow-range degree-of-artificiality calculator calculates, in a multidimensional space represented by the narrow-range features, the narrow-range degree of artificiality from the positional relationship of the narrow-range features to a statistical distribution range of the artificial image. A degree-of-artificiality calculator calculates the degree of artificiality of the subject pixel.

摘要翻译： 图像处理装置包括以下要素。 宽范围特征提取单元从位于与第一图像的主题像素相关的预定区域中的像素提取宽范围特征。 广泛的人工程度计算器在宽范围特征所表示的多维空间中计算出从广泛特征的位置关系到人造图像的统计分布范围的广泛程度的人造 的第一个图像。 窄范围特征提取单元相对于第一图像的主题像素从位于预定区域中的像素提取窄范围特征。 窄范围人工度计算器在由窄范围特征表示的多维空间中，根据窄范围特征的位置关系到人造图像的统计分布范围来计算窄范围的人造度 。 人工度计算器计算被摄体像素的人造度。

公开(公告)号：US20070216802A1

公开(公告)日：2007-09-20

申请号：US11687294

申请日：2007-03-16

申请人： Tetsujiro Kondo ,  Masashi Uchida ,  Takuo Morimura ,  Daisuke Kikuchi ,  Takeshi Miyai ,  Hideo Kasama ,  Takeshi Kunihiro ,  Yoshiaki Nakamura ,  Hideki Mori ,  Yasuhiko Suga ,  Kenichiro Hosokawa ,  Shizuo Chikaoka

发明人： Tetsujiro Kondo ,  Masashi Uchida ,  Takuo Morimura ,  Daisuke Kikuchi ,  Takeshi Miyai ,  Hideo Kasama ,  Takeshi Kunihiro ,  Yoshiaki Nakamura ,  Hideki Mori ,  Yasuhiko Suga ,  Kenichiro Hosokawa ,  Shizuo Chikaoka

IPC分类号： H04N7/01

CPC分类号： H04N7/014 ,  H04N5/144 ,  H04N7/012

摘要： An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.

摘要翻译： 图像处理装置包括将包括第一数量的像素的隔行扫描图像转换为第一逐行图像的转换器，内插第一逐行图像的内插器，以生成包括第二数量的像素的第二逐行图像;分类单元， 具有第二渐进图像的特征的类别，形成第三逐行图像的被摄体像素，其用作包括第二数量的像素并且具有高于第二逐行图像的质量的目标图像;存储单元，其存储预测 使用多个逐行图像进行学习而获得的每个类别的系数，每个逐行图像包括第二数量的像素;以及计算单元，使用第二逐行图像和每个类别的预测系数执行计算，以确定第三渐进图像 来自第二个渐进图像的图像。

公开(公告)号：US20120321214A1

公开(公告)日：2012-12-20

申请号：US13463274

申请日：2012-05-03

申请人： Kenichiro Hosokawa ,  Takahiro Nagano

发明人： Kenichiro Hosokawa ,  Takahiro Nagano

IPC分类号： G06K9/40

CPC分类号： G06T5/003 ,  G06T3/4007 ,  G06T5/20 ,  G06T2207/20012

摘要： Provided is an image processing apparatus including a sharpness improvement feature quantity calculation unit for calculating a sharpness improvement feature quantity of a pixel-of-interest, which is a feature quantity of sharpness improvement of a pixel-of-interest, according to a product-sum operation on pixel values of a plurality of peripheral pixels around a pixel of an input image corresponding to the pixel-of-interest, strengths of band limitation and noise addition, and filter coefficients corresponding to phases of the pixel-of-interest and the peripheral pixels, by designating a pixel of a prediction image as the pixel-of-interest when an image subjected to high image-quality processing is output as the prediction image, and a prediction calculation unit for calculating a prediction value of the pixel-of-interest by calculating a prediction expression defined by a product-sum operation on the sharpness improvement feature quantity and a prediction coefficient pre-obtained by learning.

摘要翻译： 提供了一种图像处理装置，其包括：锐度改善特征量计算单元，用于根据产品特性量计算单元计算作为感兴趣像素的锐度改善的特征量的兴趣像素的锐度改善特征量; 对与感兴趣像素对应的输入图像的像素周围的多个周边像素的像素值进行和运算，频带限制和噪声添加的强度以及对应于感兴趣像素的相位的滤波器系数 周边像素，通过将输出高图像质量处理的图像作为预测图像输出，将预测图像的像素指定为感兴趣像素，以及预测计算单元，计算像素的像素的预测值 通过计算由锐积度改善特征量和预先获得的预测系数的乘积和运算定义的预测表达式来计算兴趣 学习。

公开(公告)号：US08264600B2

公开(公告)日：2012-09-11

申请号：US11687294

申请日：2007-03-16

申请人： Tetsujiro Kondo ,  Masashi Uchida ,  Takuo Morimura ,  Daisuke Kikuchi ,  Takeshi Miyai ,  Hideo Kasama ,  Takeshi Kunihiro ,  Yoshiaki Nakamura ,  Hideki Mori ,  Yasuhiko Suga ,  Kenichiro Hosokawa ,  Shizuo Chikaoka

发明人： Tetsujiro Kondo ,  Masashi Uchida ,  Takuo Morimura ,  Daisuke Kikuchi ,  Takeshi Miyai ,  Hideo Kasama ,  Takeshi Kunihiro ,  Yoshiaki Nakamura ,  Hideki Mori ,  Yasuhiko Suga ,  Kenichiro Hosokawa ,  Shizuo Chikaoka

IPC分类号： H04N7/01 ,  H04N11/20

CPC分类号： H04N7/014 ,  H04N5/144 ,  H04N7/012

摘要： An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.

摘要翻译： 图像处理装置包括将包括第一数量的像素的隔行扫描图像转换为第一逐行图像的转换器，内插第一逐行图像的内插器，以生成包括第二数量的像素的第二逐行图像;分类单元， 具有第二渐进图像的特征的类别，形成第三逐行图像的被摄体像素，其用作包括第二数量的像素并且具有高于第二逐行图像的质量的目标图像;存储单元，其存储预测 使用多个逐行图像进行学习而获得的每个类别的系数，每个逐行图像包括第二数量的像素;以及计算单元，使用第二逐行图像和每个类别的预测系数执行计算，以确定第三渐进图像 来自第二个渐进图像的图像。