公开(公告)号：US06636645B1

公开(公告)日：2003-10-21

申请号：US09606700

申请日：2000-06-29

申请人： Qing Yu ,  Jiebo Luo ,  Rajan L. Joshi

发明人： Qing Yu ,  Jiebo Luo ,  Rajan L. Joshi

IPC分类号： G06K900

CPC分类号： H04N1/58 ,  H04N19/865

摘要： A digital image processing method reduces noise and blocking artifacts in a digital image by first converting the RGB values of the digital image pixels to Y, Cb and Cr components, then detecting the block boundaries in the Y, Cb and Cr image components, and estimating the noise in the Y, Cb and Cr image components. One or more noise tables are constructed for the Y, Cb and Cr image components. An adaptive Huber-Markov-random-field-model-based filter (HMRF) is applied to the Y, Cb and Cr image components, wherein the adaptive feature of the HMRF employs the detected block boundaries and the noise tables to produce filtered Y, Cb and Cr image components. Finally, the filtered Y, Cb and Cr image components are converted to RGB components.

摘要翻译： 数字图像处理方法通过首先将数字图像像素的RGB值转换为Y，Cb和Cr分量，然后检测Y，Cb和Cr图像分量中的块边界，并估计数字图像处理方法，从而减少数字图像中的噪声和块伪影 Y，Cb和Cr图像组件中的噪声。 为Y，Cb和Cr图像分量构建一个或多个噪声表。 将适应性Huber-Markov随机场模型滤波器（HMRF）应用于Y，Cb和Cr图像分量，其中HMRF的自适应特征采用检测的块边界和噪声表来产生滤波的Y， Cb和Cr图像组件。 最后，将滤波的Y，Cb和Cr图像分量转换为RGB分量。

公开(公告)号：US06643410B1

公开(公告)日：2003-11-04

申请号：US09606266

申请日：2000-06-29

申请人： Qing Yu ,  Jiebo Luo ,  Rajan L. Joshi

发明人： Qing Yu ,  Jiebo Luo ,  Rajan L. Joshi

IPC分类号： G06K900

CPC分类号： H04N1/409 ,  G06T9/00 ,  H04N19/865

摘要： A digital image processing method determines the extent of blocking artifacts in a digital image by first forming a column difference image and averaging the values in the columns in the column difference image to produce a column difference array. The average of the values in the column difference array that are separated by one block width are computed to produce a block averaged column difference array. Then, the peak value in the block averaged column difference array is located, and the mean value of the block averaged column difference array (excluding the peak value) is calculated to produce a column base value, and the ratio between the peak value and the base value are computed to produce a column ratio. The foregoing steps are repeated in the row direction to produce a row ratio. Finally, the column and row ratios are employed as a measure of the extent of blocking artifacts in the digital image.

摘要翻译： 数字图像处理方法通过首先形成列差分图像并对列差分图像中的列中的值进行平均以确定列差分阵列来确定数字图像中的块伪影的程度。 计算分隔一个块宽度的列差异数组中的值的平均值，以产生块平均列差数组。 然后，定位块平均列差分阵列中的峰值，计算块平均列差数组（除峰值之外）的平均值，以产生列基值，峰值与 计算基值以产生柱比。 在行方向上重复上述步骤以产生行比。 最后，使用列和行比作为数字图像中块伪影程度的量度。

公开(公告)号：US06895121B2

公开(公告)日：2005-05-17

申请号：US09898230

申请日：2001-07-03

申请人： Rajan L. Joshi ,  Jiebo Luo

发明人： Rajan L. Joshi ,  Jiebo Luo

IPC分类号： H04N7/30 ,  G06T9/00 ,  H03M7/30 ,  H04N1/41 ,  H04N7/26 ,  G06K9/36

CPC分类号： G06T9/008 ,  H04N19/63

摘要： A method for producing a compressed bit-stream from a digital image includes the steps of a) processing the digital image to produce a main subject belief map containing a continuum of belief values relating to the importance of subject and background regions in the image, b) performing a spatio-frequency transformation on the digital image to produce an array of transform coefficients, c) deriving a distortion-weighting factor for each transform coefficient from the belief map, and d) producing a compressed bit stream using an image compression system that is responsive to the distortion-weighting factors. The specific image compression system may be selected from a variety of image compression systems, including JPEG compression, JPEG2000 compression or vector quantization. The production of the main subject belief map involves the extraction of at least one structural saliency feature and at least one semantic saliency feature from the image, and the integration of the structural saliency feature and the semantic feature using a probabilistic reasoning engine into an estimate of a belief that a region of the digital image is the main subject.

摘要翻译： 一种用于从数字图像产生压缩比特流的方法包括以下步骤：a）处理数字图像以产生包含与图像中的被摄体和背景区域的重要性有关的连续的置信度值的主要被摄体信念图，b ）对所述数字图像执行空间 - 频率变换以产生变换系数阵列，c）从所述置信图导出每个变换系数的失真加权因子，以及d）使用图像压缩系统产生压缩比特流，所述图像压缩系统 响应于失真加权因子。 特定图像压缩系统可以从各种图像压缩系统中选择，包括JPEG压缩，JPEG2000压缩或矢量量化。 主题信念图的生成涉及从图像中提取至少一个结构显着特征和至少一个语义突出特征，以及使用概率推理引擎将结构显着特征和语义特征的集成到估计中 相信数字图像的一个区域是主要的主题。

公开(公告)号：US06823089B1

公开(公告)日：2004-11-23

申请号：US09672658

申请日：2000-09-28

申请人： Qing Yu ,  Jiebo Luo

发明人： Qing Yu ,  Jiebo Luo

IPC分类号： G06K940

CPC分类号： G06T5/10 ,  G06T5/002 ,  G06T5/003 ,  G06T2207/20056 ,  H04N19/60 ,  H04N19/86 ,  H04N19/865

摘要： A digital image processing determining the extent of blocking and contouring artifacts in a digital image includes the steps of: determining the extent of blocking artifacts using the column and row difference arrays; determining the extent of contouring artifacts based on an estimated DC quantization step size; and, determining a composite artifact measure as a function of the extent of blocking artifacts and extent of contouring artifacts. A digital image processing method determining the extent of contouring artifacts in the digital image includes the steps of: forming a column difference image; averaging the values in the columns in the column difference image to produce a column difference array; computing the average of the values in the column difference array that are separated by one block width to produce a block averaged column difference array; locating the peak value in the block averaged column difference array; repeating the above mentioned steps in the row direction; locating block boundaries based on the locations of peak values of column and row difference arrays; calculating DC value for each block; generating a histogram of the block DC values; calculating the Fourier transform of the histogram; locating the first non-DC peak in the Fourier transform domain; calculating a DC quantization step size based on the frequency of the first non-DC peak; and, employing the DC quantization step size as a measure of the extent of the contouring artifacts in the digital image.

摘要翻译： 确定数字图像中的阻塞和轮廓伪迹的程度的数字图像处理包括以下步骤：使用列和行差分阵列确定块伪影的程度; 基于估计的DC量化步长确定轮廓伪迹的程度; 以及确定作为块伪影程度和轮廓伪像程度的函数的复合伪像度量。 确定数字图像中的轮廓伪迹的程度的数字图像处理方法包括以下步骤：形成列差分图像; 对列差分图像中的列进行平均，以产生列差数组; 计算列差分阵列中由一个块宽度分隔的值的平均值，以产生块平均列差分阵列; 将峰值定位在块平均列差数组中; 在行方向重复上述步骤; 基于列和行差分阵列的峰值位置定位块边界; 计算每个块的DC值; 产生块DC值的直方图; 计算直方图的傅里叶变换; 将傅立叶变换域中的第一非DC峰定位; 基于所述第一非DC峰值的频率计算DC量化步长; 并且使用DC量化步长作为数字图像中的轮廓伪像的程度的度量。

公开(公告)号：US07012617B2

公开(公告)日：2006-03-14

申请号：US10846930

申请日：2004-05-17

申请人： Jiebo Luo ,  Qing Yu ,  Kevin E. Spaulding

发明人： Jiebo Luo ,  Qing Yu ,  Kevin E. Spaulding

IPC分类号： G09G5/02

CPC分类号： H04N1/644

摘要： Disclosed is a method for converting an input digital color image having a set of possible input colors to an output digital color image having a set of palette colors, the number of palette colors being less than the number of possible input colors, wherein the set of palette colors is determined based on the distribution of colors in the input digital image boosted by a distribution of important colors contained in the input digital image.

公开(公告)号：US20050041034A1

公开(公告)日：2005-02-24

申请号：US10846930

申请日：2004-05-17

申请人： Jiebo Luo ,  Qing Yu ,  Kevin Spaulding

发明人： Jiebo Luo ,  Qing Yu ,  Kevin Spaulding

IPC分类号： G06T1/00 ,  G06T5/40 ,  G06T7/00 ,  G09G5/06 ,  H04N1/46 ,  H04N1/60 ,  H04N1/64 ,  G09G5/02

CPC分类号： H04N1/644

摘要： Disclosed is a method for converting an input digital color image having a set of possible input colors to an output digital color image having a set of palette colors, the number of palette colors being less than the number of possible input colors, wherein the set of palette colors is determined based on the distribution of colors in the input digital image boosted by a distribution of important colors contained in the input digital image.

公开(公告)号：US06809840B1

公开(公告)日：2004-10-26

申请号：US09603490

申请日：2000-06-23

申请人： Qing Yu ,  Jiebo Luo

发明人： Qing Yu ,  Jiebo Luo

IPC分类号： H04N1405

CPC分类号： H04N1/4105

摘要： A digital image processing method for adaptively sub-sampling an image to X % of original pixels, includes the steps of generating an edge map of the image; normalizing the edge map to N-bits; applying a shift to the normalized edge map such that X % of the pixels will be ones when the normalized shifted edge map is halftoned using a blue noise halftoning technique; halftoning the edge map using the blue noise halftoning technique to generate a halftone mask; and sub-sampling the image at the pixel locations represented by ones in the halftone mask.

摘要翻译： 一种用于将图像自适应地对原始像素的X％进行子采样的数字图像处理方法包括以下步骤：产生图像的边缘图; 将边缘图归一化为N位; 对归一化的边缘图进行移位，使得当使用蓝色噪声半色调技术将归一化的移位边缘图半色调时，像素的X％将是一个; 使用蓝色噪声半色调技术对边缘图进行半色调以产生半色调蒙版; 并在由半色调掩模中的像素位置表示的像素位置处对图像进行子采样。

公开(公告)号：US06804418B1

公开(公告)日：2004-10-12

申请号：US09705565

申请日：2000-11-03

申请人： Qing Yu ,  Jiebo Luo

发明人： Qing Yu ,  Jiebo Luo

IPC分类号： G06T340

CPC分类号： G06T3/4023

摘要： A digital image processing method for generating a low resolution, low bit depth digital image from a higher resolution, higher bit depth input color digital image, includes the steps of: generating a gray scale image from the input color digital image; generating a low resolution sketch image from the grayscale image; generating a low resolution halftone image from the gray scale image; and combining the low resolution sketch image and the low resolution halftone image to form the low resolution, low bit depth digital image.

摘要翻译： 一种用于从较高分辨率，高位深度输入彩色数字图像生成低分辨率低位深度数字图像的数字图像处理方法包括以下步骤：从输入彩色数字图像生成灰度图像; 从灰度图像生成低分辨率草图图像; 从灰度图像生成低分辨率半色调图像; 并组合低分辨率草图图像和低分辨率半色调图像以形成低分辨率，低位深度数字图像。

公开(公告)号：US06563513B1

公开(公告)日：2003-05-13

申请号：US09568759

申请日：2000-05-11

申请人： Qing Yu ,  Jiebo Luo ,  Richard A. Simon

发明人： Qing Yu ,  Jiebo Luo ,  Richard A. Simon

IPC分类号： G09G500

CPC分类号： G06T3/403

摘要： A digital image processing method for generating a low resolution, low bit depth digital image from a higher resolution, higher bit depth input color digital image, includes the steps of: generating a gray scale image from the input color digital image; generating a valley image; filtering the valley image with a rank order filter to produce a filtered valley image; thresholding the filtered valley image to generate a binary valley image; generating a shadow image and a highlight image from the gray scale image; combining the shadow image, the highlight image, and the binary valley image to produce a combined binary image; and sub-sampling the combined binary image to a desired low resolution.

摘要翻译： 一种用于从较高分辨率，高位深度输入彩色数字图像生成低分辨率低位深度数字图像的数字图像处理方法包括以下步骤：从输入彩色数字图像生成灰度图像; 产生谷图像; 用等级滤波器过滤谷图像以产生滤波的谷图像; 阈值滤波谷图像以产生二进制谷图像; 从灰度图像生成阴影图像和高光图像; 组合阴影图像，高光图像和二进制谷图像以产生组合二进制图像; 并将组合的二进制图像分次采样到期望的低分辨率。

公开(公告)号：US07593135B2

公开(公告)日：2009-09-22

申请号：US09896798

申请日：2001-06-29

申请人： Jiebo Luo ,  Qing Yu

发明人： Jiebo Luo ,  Qing Yu

IPC分类号： H04N1/40 ,  H04N1/405

CPC分类号： H04N1/40087

摘要： A method for multitone processing an N level digital image to produce an M level digital image wherein M

摘要翻译： 一种用于多音处理N级数字图像以产生M级数字图像的方法，其中M