公开(公告)号：US06490323B1

公开(公告)日：2002-12-03

申请号：US09335464

申请日：1999-06-17

Applicant: Bo Shen ,  Vasudev Bhaskaran

Inventor： Bo Shen ,  Vasudev Bhaskaran

IPC: H04N712

CPC classification number: H04N19/90 ,  H04N19/48 ,  H04N19/60

Abstract: A method and apparatus for receiving and processing digitized video data in a discrete cosine transform (DCT) domain exploits the orthogonality of a convolution function along with the data sparseness present in the DCT domain. In a preferred method, the convolution function is applied to vectors associated with a plurality of input video data frames in consideration of an orthogonal characteristic of the convolution function. More specifically, cross-products of the input vectors which would yield non-zero output vectors are identified and weighting factors for the cross-products are determined in consideration of this orthogonality. An output video data frame is generated from the non-zero output vectors and the weighting factors. A convolution operation based upon the disclosed method and aparatus is suitable for chroma-keying as well as other video or audio blending applications.

Abstract translation: 用于在离散余弦变换（DCT）域中接收和处理数字化视频数据的方法和装置利用卷积函数的正交性以及存在于DCT域中的数据稀疏性。 在优选的方法中，考虑到卷积函数的正交特性，卷积函数被应用于与多个输入视频数据帧相关联的矢量。 更具体地，识别将产生非零输出向量的输入向量的交叉乘积，并且考虑到该正交性来确定交叉乘积的加权因子。 从非零输出向量和加权因子生成输出视频数据帧。 基于所公开的方法和装置的卷积操作适合于色键以及其它视频或音频混合应用。

公开(公告)号：US06473534B1

公开(公告)日：2002-10-29

申请号：US09226584

申请日：1999-01-06

Applicant: Neri Merhav ,  Vasudev Bhaskaran

Inventor： Neri Merhav ,  Vasudev Bhaskaran

IPC: G06K936

CPC classification number: G06T9/007

Abstract: Multiplier-free implementation of an approximation of the DCT used in image and video processing. In accordance with the primary aspect of the present invention, image and video processing is done with no multiplications and a fewer number of operations through the application of a modified Arai, Agui, and Nakajima (AAN) scheme for eight-point DCT.

Abstract translation: 在图像和视频处理中使用DCT的近似的无乘法实现。 根据本发明的主要方面，通过应用用于八点DCT的修改的Arai，Agui和Nakajima（AAN）方案，不进行乘法和更少数量的操作来完成图像和视频处理。

公开(公告)号：US06298166B1

公开(公告)日：2001-10-02

申请号：US09052039

申请日：1998-03-30

Applicant: Viresh Ratnakar ,  Victor Ivashin ,  Vasudev Bhaskaran

Inventor： Viresh Ratnakar ,  Victor Ivashin ,  Vasudev Bhaskaran

IPC: G06K936

CPC classification number: H04N19/48 ,  G06T3/60 ,  H04N19/90

Abstract: Image processing techniques which involve direct manipulation of the compressed domain representation of an image to achieve the desired spatial domain processing without having to go through a complete decompression and compression process. The techniques include processing approaches for performing the eight operations in D4 (the dihedral group of symmetries of a square) on JPEG images using the discrete cosine transform (DCT) domain representation of the images directly. For a task such as image rotation by 90° (an operation in D4), DCT-domain based methods can yield nearly a five-fold increase in speed over a spatial-domain based technique. These simple compressed-domain based processing techniques are well suited to the imaging tasks that are needed in a JPEG-based digital still-camera system.

Abstract translation: 图像处理技术涉及直接操纵图像的压缩域表示以实现期望的空间域处理，而不必经历完全的解压缩和压缩处理。 这些技术包括使用图像的离散余弦变换（DCT）域表示直接在JPEG图像上执行D4中的八个操作（平方对称的二面体组）的处理方法。 对于诸如图像旋转90°（D4中的操作）的任务，基于DCT域的方法可以在基于空间域的技术上产生几乎五倍的速度增加。 这些简单的基于压缩域的处理技术非常适合于基于JPEG的数码相机系统中所需的成像任务。

公开(公告)号：US5883979A

公开(公告)日：1999-03-16

申请号：US935517

申请日：1997-09-23

Applicant: Giordano Beretta ,  Vasudev Bhaskaran ,  Konstantinos Konstantinides ,  Balas K. Natarajan

Inventor： Giordano Beretta ,  Vasudev Bhaskaran ,  Konstantinos Konstantinides ,  Balas K. Natarajan

IPC: G06T9/00 ,  H03M7/30 ,  H04N1/41 ,  H04N1/64 ,  H04N7/26 ,  H04N7/30 ,  H04N1/415

CPC classification number: H04N1/64 ,  H04N1/41 ,  H04N19/126 ,  H04N19/60 ,  H04N19/124 ,  H04N19/13 ,  H04N19/91

Abstract: A method of compressing color source image data includes forming a quantization table with a "supra-threshold" term. This method includes a step of selecting a set of target images, where each target image includes one or more image elements such as text. These image elements are then analyzed to identify those that are more important for visual quality. These "supra-threshold" terms are then selected that gives a larger weight to the quantization table elements that correspond to important image elements and a smaller weight to the table elements that correspond to less important image elements. This process selectively weights the characteristics of each DCT basis vectors. By giving larger weights to the table elements that correspond to the "up-downness" of the image, i.e., the vertical attributes of the image elements, and the "left-rightness" of the image, i.e., the horizontal attributes of the image elements, and smaller weights to the table elements corresponding to the "criss-crossedness" of the image, i.e., the diagonal attributes of the image elements, the visual quality of an image that includes text can be preserved while significantly increasing the compression ratio.

Abstract translation: 压缩颜色源图像数据的方法包括形成具有“超阈值”项的量化表。 该方法包括选择一组目标图像的步骤，其中每个目标图像包括一个或多个诸如文本的图像元素。 然后分析这些图像元素以识别那些对于视觉质量更重要的图像元素。 然后选择这些“超阈值”项，其给予对应于重要图像元素的量化表元素更大的权重，并且对于对应于不太重要的图像元素的表元素具有较小的权重。 该过程选择性地加权每个DCT基矢量的特征。 通过对与图像的“上下颠倒”对应的表格元素（即，图像元素的垂直属性）和图像的“左”（即，图像的水平属性）给予更大的权重 元素和较小的权重对应于图像的“十字交叉”对应的表格元素，即图像元素的对角属性，可以保留包括文本的图像的视觉质量，同时显着增加压缩比。

公开(公告)号：US5832135A

公开(公告)日：1998-11-03

申请号：US612513

申请日：1996-03-06

Applicant: Neri Merhav ,  Vasudev Bhaskaran

Inventor： Neri Merhav ,  Vasudev Bhaskaran

IPC: H04N7/30 ,  G06T5/20 ,  H03M7/30 ,  G06T5/10 ,  G06F17/10

CPC classification number: G06T5/20

Abstract: A method is described for filtering compressed images represented in the discrete-cosine-transform (DCT) domain. The filter includes three sparse, vertical submatrices which are sparse versions of the vertical filter components (VFCs) of a desired filter function that have been combined in such a way as to eliminate many of the non-zero elements. The filter also includes three sparse, horizontal transpose submatrices, which, like the vertical submatrices, are sparse versions of the horizontal filter components of the filter function. The sparseness of these sparse submatrices yields a significant reduction in the number of computations required to filter the image in the DCT domain. To take advantage of this discovery, the input DCT data blocks are "butterflied" to retain the relationship between the input data blocks and the filtered output data blocks as a function of these sparse submatrices. The sparseness of the vertical and horizontal submatrices reduces the number of computations required to filter the image. The sparseness of the DCT data blocks can also be used to further reduce the number of computations required.

Abstract translation: 描述了用于过滤在离散余弦变换（DCT）域中表示的压缩图像的方法。 滤波器包括三个稀疏的垂直子矩阵，它们是已经以消除许多非零元素的方式组合的期望滤波器函数的垂直滤波器组件（VFC）的稀疏版本。 滤波器还包括三个稀疏水平转置子矩阵，其像垂直子矩阵一样是滤波器函数的水平滤波器组件的稀疏版本。 这些稀疏子矩阵的稀疏度导致在DCT域中对图像进行滤波所需的计算数量的显着减少。 为了利用这一发现，输入的DCT数据块被“压缩”以保持输入数据块和滤波的输出数据块之间的关系作为这些稀疏子矩阵的函数。 垂直和水平子矩阵的稀疏度减少了过滤图像所需的计算次数。 DCT数据块的稀疏度也可用于进一步减少所需的计算次数。

公开(公告)号：US09083948B2

公开(公告)日：2015-07-14

申请号：US13552340

申请日：2012-07-18

Applicant: Gokce Dane ,  Vasudev Bhaskaran

Inventor： Gokce Dane ,  Vasudev Bhaskaran

IPC: H04N13/00

CPC classification number: H04N13/144

Abstract: In one example, a method includes identifying a first set of pixels in co-located pairs in a corresponding pair of multiview image frames for which the co-located pairs have a disparity between the pixels that is greater than a selected disparity threshold. The method further includes identifying a second set of pixels in at least one of the image frames that are within a selected distance of an intensity transition greater than a selected intensity transition threshold. The method further includes applying crosstalk correction to pixels that are identified as being in at least one of the first set and the second set.

Abstract translation: 在一个示例中，一种方法包括识别对应的多视图图像帧对中的同位置对中的第一组像素，其中同位置对具有大于所选视差阈值的像素之间的差异。 该方法还包括识别在大于所选择的强度转变阈值的强度转换的选定距离内的至少一个图像帧中的第二组像素。 该方法还包括对被识别为处于第一组和第二组中的至少一个的像素应用串扰校正。

公开(公告)号：US08711083B2

公开(公告)日：2014-04-29

申请号：US12783123

申请日：2010-05-19

Applicant: Wonbok Lee ,  Vasudev Bhaskaran ,  Mainak Biswas ,  Nikhil Balram

Inventor： Wonbok Lee ,  Vasudev Bhaskaran ,  Mainak Biswas ,  Nikhil Balram

IPC: G09G3/36

CPC classification number: G09G3/3607 ,  G09G3/3426 ,  G09G3/3611 ,  G09G2320/0238 ,  G09G2320/0261 ,  G09G2320/064 ,  G09G2320/066 ,  G09G2320/10 ,  G09G2360/145 ,  G09G2360/16

Abstract: To improve contrast ratio of the image on a backlit display plane such as a liquid crystal display (“LCD”), each area of the image that has separately controllable backlight may be given full backlight until an average or composite brightness of the image in that area is less than a threshold value at which light leakage through the image from full-strength backlight begins to be noticable by a viewer. For image areas with composite brightness less than that threshold, backlight brightness may be reduced in proportion to how much below the threshold the area's composite image brightness is. Backlight brightness may also be adjusted for other image aspects such as (1) the presence of bright pixels in an otherwise relatively dark area, (2) whether the area is adjacent to one or more other areas in which the image information is in motion, and/or (3) time-averaging of image information over several successive frames of such information.

Abstract translation: 为了提高诸如液晶显示器（“LCD”）的背光显示平面上的图像的对比度，具有单独可控制的背光的图像的每个区域可以被赋予完全的背光，直到该图像的平均或复合亮度 面积小于通过来自全强度背光的图像的光泄漏开始由观察者显而易见的阈值。 对于具有小于该阈值的复合亮度的图像区域，背光亮度可以与区域的合成图像亮度的阈值以下多少成正比。 也可以针对其他图像方面调整背光亮度，例如（1）在相对较暗的区域中存在亮像素，（2）该区域是否与图像信息在其中运动的一个或多个其它区域相邻， 和/或（3）在这些信息的几个连续帧上的图像信息的时间平均。

公开(公告)号：US08570438B2

公开(公告)日：2013-10-29

申请号：US12764214

申请日：2010-04-21

Applicant: Vasudev Bhaskaran ,  Mainak Biswas ,  Nikhil Balram

Inventor： Vasudev Bhaskaran ,  Mainak Biswas ,  Nikhil Balram

IPC: H04N5/46

CPC classification number: H04N19/117 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20004 ,  H04L65/80 ,  H04N5/4401 ,  H04N19/154 ,  H04N19/59 ,  H04N19/61 ,  H04N19/80 ,  H04N19/85 ,  H04N19/86 ,  H04N21/426 ,  H04N21/4332 ,  H04N21/4348 ,  H04N21/4382 ,  H04N21/44 ,  H04N21/44209 ,  H04N21/4425 ,  H04N21/485 ,  H04N21/6125 ,  H04N21/84

Abstract: A system including a quality estimation module configured to estimate a visual quality of video content based on data from a decoder module. The system further including a settings database configured to store a plurality of predetermined settings. The settings database outputs at least one of the predetermined settings in response to the visual quality. The system further including a video post-processor module configured to automatically adjust settings of the video post-processor module based on the at least one of the predetermined settings. The video content is processed based on the settings of the video post-processor module that were automatically adjusted.

Abstract translation: 一种包括质量估计模块的系统，其被配置为基于来自解码器模块的数据来估计视频内容的视觉质量。 该系统还包括配置为存储多个预定设置的设置数据库。 设置数据库响应于视觉质量输出至少一个预定设置。 该系统还包括视频后处理器模块，该视频后处理器模块被配置为基于至少一个预定设置来自动调整视频后处理器模块的设置。 视频内容根据自动调整的视频后处理器模块的设置进行处理。

公开(公告)号：US20130187846A1

公开(公告)日：2013-07-25

申请号：US13355379

申请日：2012-01-20

Applicant: Yingyong Qi ,  Min Li ,  Chia-Yuan Teng ,  Vasudev Bhaskaran

Inventor： Yingyong Qi ,  Min Li ,  Chia-Yuan Teng ,  Vasudev Bhaskaran

IPC: G09G5/00

CPC classification number: G06T3/403

Abstract: The techniques described in this disclosure are directed to interpolating pixel values. In some examples, the techniques interpolate a pixel value for an interpolated center pixel based on pixel values of pixel that reside on diagonal lines that are orthogonal to one another. The techniques may determine first order derivative values and, in some examples, second order derivative values to determine which pixels to utilize to interpolate the pixel values for the interpolated center pixel. The techniques may similarly determine pixel values for non-center interpolated pixels using orthogonal vertical and horizontal lines.

Abstract translation: 本公开中描述的技术涉及内插像素值。 在一些示例中，技术基于驻留在彼此正交的对角线上的像素的像素值来内插内插中心像素的像素值。 这些技术可以确定一阶导数值，并且在一些示例中确定二阶导数值，以确定要用于内插内插中心像素的像素值的像素。 这些技术可以使用正交的垂直和水平线来类似地确定非中心内插像素的像素值。

公开(公告)号：US07843995B2

公开(公告)日：2010-11-30

申请号：US11311023

申请日：2005-12-19

Applicant: Vasudev Bhaskaran ,  William Chen

Inventor： Vasudev Bhaskaran ,  William Chen

IPC: H04N11/04 ,  H04N7/12

CPC classification number: H04N19/567 ,  H04N19/132 ,  H04N19/136 ,  H04N19/147 ,  H04N19/176 ,  H04N19/19

Abstract: The temporal and/or spatial characteristics of a macroblock are analyzed in order to reduce the number of modes for which motion estimation and rate distortion efficiency calculations are to be performed. In one embodiment, macroblock mean and variance characteristics are analyzed to merge sub-blocks together within the macroblock. These merged sub-blocks may be used to identify both inter and intra modes for the macroblock.

Abstract translation: 分析宏块的时间和/或空间特性，以便减少要执行运动估计和速率失真效率计算的模式的数量。 在一个实施例中，分析宏块均值和方差特性以将宏块内的子块合并在一起。 这些合并的子块可以用于识别宏块的帧间和帧内模式。