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    • 1. 发明授权
    • PWM rendering for color/gray-scale text and graphics for laser printer
    • 用于激光打印机的彩色/灰度文本和图形的PWM渲染
    • US07265876B2
    • 2007-09-04
    • US10143617
    • 2002-05-09
    • Jincheng HuangOnur GuleryuzAnoop BhattacharjyaJoseph Shu
    • Jincheng HuangOnur GuleryuzAnoop BhattacharjyaJoseph Shu
    • H04N1/405H04N1/409
    • G06K15/02G06K15/1223G06K15/18G06K15/1822
    • The appearance of edges in an image is improved through precise placement of subpixels within pixel cells that are located on or near edges in an image. Image data is examined to identify a “target pixel” near the edge of an object that represents the object and is adjacent to a “background pixel” that represents only background. The target pixel may represent both the object and its background or it may represent the object only. A “second pixel”, adjacent to the target pixel and representing the object, is also identified. The second pixel may represent both the object and its background or it may represent the object only. The target pixel's location with respect to the second pixel is analyzed to determine the placement of a subpixel within the target pixel cell and the placement of a subpixel within the second pixel cell, such that the edge of the object is well-defined and the density of the object is preserved. A vertical smoothing process can additionally be performed to improve further the appearance of edges in the image. The technique is particularly advantageous for printing a halftoned object represented by pixels that are not saturated.
    • 图像中边缘的出现通过精确​​放置位于图像中边缘或边缘附近的像素单元内的子像素得到改善。 检查图像数据以识别表示对象的对象的边缘附近的“目标像素”,并且与仅表示背景的“背景像素”相邻。 目标像素可以表示对象及其背景,或者它可以仅表示对象。 还识别与目标像素相邻并且表示对象的“第二像素”。 第二个像素可以表示对象及其背景,也可以仅表示对象。 分析目标像素相对于第二像素的位置,以确定子像素在目标像素单元内的位置和子像素在第二像素单元内的位置,使得对象的边缘被明确定义,密度 的对象被保留。 另外可以执行垂直平滑处理以进一步改善图像中的边缘的外观。 该技术特别有利于打印由不饱和的像素表示的半色调对象。
    • 2. 发明申请
    • Inter and intra band prediction of singularity coefficients using estimates based on nonlinear approximants
    • 使用基于非线性逼近的估计的奇异系数的帧间和帧内预测
    • US20050105817A1
    • 2005-05-19
    • US10885538
    • 2004-07-06
    • Onur Guleryuz
    • Onur Guleryuz
    • G06T5/00G06T9/00H03M7/30H04N1/41H04N7/26G06K9/46
    • G06T3/4053H04N19/61H04N19/63
    • An algorithm that estimates or predicts a portion x1 of an original signal represented by the vector x=[x0 x1]T, of which x0 is the known portion and x1 the unknown portion, obtains the estimate y=[x0 {circumflex over (x)}1]T by first forming an initial estimate y0=[x0 0]T, that is, an initial estimate of x1, the unknown part of the original signal x. A de-noising matrix D1 is computed by applying a transform matrix to y0 and hard-thresholding coefficients using an initial threshold T0. An operation is performed using D1 to form a second signal estimate y1. The threshold may then be successively decremented by ΔT to obtain a next threshold Tn, after which a next de-noising Dn+1 is computed by applying the transform matrix to yn and hard-thresholding coefficients using Tn, and an operation is performed using Dn+1 to form the next signal estimate y(n+1). This loop in which the threshold is successively reduced to form the next signal estimate is performed until a final threshold Tf is reached.
    • 估计或预测由矢量x = [x 0 x 1 x 1]表示的原始信号的部分x 1 1的算法, 其中x 0是未知部分的已知部分,并且x 1是未知部分,获得估计y = [x 0 < 通过首先形成初始估计y 0 = [x 0 0 0] T 0,T 1,..., ,也就是原始信号x的未知部分的初始估计x 1。 通过使用初始阈值T 0> 0应用变换矩阵和硬阈值系数来计算去噪矩阵D 1&lt; 1&gt; 1。 使用D 1 <1>执行操作以形成第二信号估计y 1。 然后阈值可以逐渐递减DeltaT以获得下一个阈值T N n,之后通过将变换矩阵应用到下一个去噪D N + 1 + 和使用T n n n n的硬阈值系数,并且使用D n + 1 + 1执行操作以形成下一个信号估计y 1, (n + 1)。 执行其中连续减小阈值以形成下一个信号估计的该循环,直到达到最终阈值T
    • 5. 发明授权
    • Complexity regularized pattern representation, search, and compression
    • 复杂性正则化模式表示,搜索和压缩
    • US08311334B2
    • 2012-11-13
    • US12566557
    • 2009-09-24
    • Onur GuleryuzJana Zujovic
    • Onur GuleryuzJana Zujovic
    • G06K9/00
    • G06K9/6232G06K9/6255
    • A method and apparatus is disclosed herein for performing pattern representation, search and/or compression. In one embodiment, the method comprises extracting one or more target patterns from a portion of an image; forming a pattern matrix based on the one or more target patterns; approximating the pattern matrix using a complexity-regularized representation derived from the pattern matrix; and sending a query to search a library of images for vectors in the query to detect, using the a complexity-regularized representation, any image in the library that contains image patches similar to the one or more target patterns.
    • 本文公开了一种用于执行图案表示,搜索和/或压缩的方法和装置。 在一个实施例中,该方法包括从图像的一部分提取一个或多个目标图案; 基于所述一个或多个目标图案形成图案矩阵; 使用从模式矩阵导出的复杂度正则化表示近似模式矩阵; 并发送查询以在查询中搜索用于向量的图像库,以使用复杂度正则化的表示来检测包含与一个或多个目标模式类似的图像补丁的库中的任何图像。
    • 6. 发明申请
    • SPATIAL SPARSITY INDUCED TEMPORAL PREDICTION FOR VIDEO COMPRESSION
    • 空间分辨率诱导视频压缩的时间预测
    • US20080101709A1
    • 2008-05-01
    • US11929420
    • 2007-10-30
    • Onur GuleryuzGang Hua
    • Onur GuleryuzGang Hua
    • H04N7/50
    • H04N19/583H04N19/105H04N19/117H04N19/137H04N19/18H04N19/196H04N19/197H04N19/46H04N19/48H04N19/51H04N19/61H04N19/82
    • A method and apparatus are disclosed herein for spatial sparsity induced temporal prediction. In one embodiment, the method comprises: performing motion compensation to generate a first motion compensated prediction using a first block from a previously coded frame; generating a second motion compensated prediction for a second block to be coded from the first motion compensated prediction using a plurality of predictions in the spatial domain, including generating each of the plurality of predictions by generating block transform coefficients for the first block using a transform, generating predicted transform coefficients of the second block to be coded using the block transform coefficients, and performing an inverse transform on the predicted transform coefficients to create the second motion compensated prediction in the pixel domain; subtracting the second motion compensated prediction from a block in a current frame to produce a residual frame; and coding the residual frame.
    • 本文公开了一种用于空间稀疏引起的时间预测的方法和装置。 在一个实施例中,该方法包括:使用来自先前编码的帧的第一块来执行运动补偿以产生第一运动补偿预测; 使用所述空间域中的多个预测从所述第一运动补偿预测生成要编码的第二块的第二运动补偿预测,包括通过使用变换生成所述第一块的块变换系数来生成所述多个预测中的每一个, 使用所述块变换系数生成要编码的所述第二块的预测变换系数,对所述预测变换系数进行逆变换,以生成所述像素域中的所述第二运动补偿预测; 从当前帧中的块中减去第二运动补偿预测以产生残余帧; 并对残余帧进行编码。
    • 9. 发明申请
    • Nonlinear, in-the-loop, denoising filter for quantization noise removal for hybrid video compression
    • 用于混合视频压缩的量化噪声去除的非线性,在环,去噪滤波器
    • US20060153301A1
    • 2006-07-13
    • US11331814
    • 2006-01-12
    • Onur Guleryuz
    • Onur Guleryuz
    • H04N11/02H04N7/12H04N11/04H04B1/66
    • H04N19/86H04N19/117H04N19/159H04N19/18H04N19/192H04N19/61H04N19/82
    • A method and apparatus is disclosed herein for using an in-the-loop denoising filter for quantization noise removal for video compression. In one embodiment, the video encoder comprises a transform coder to apply a transform to a residual frame representing a difference between a current frame and a first prediction, the transform coder outputting a coded differential frame as an output of the video encoder; a transform decoder to generate a reconstructed residual frame in response to the coded differential frame; a first adder to create a reconstructed frame by adding the reconstructed residual frame to the first prediction; a non-linear denoising filter to filter the reconstructed frame by deriving expectations and performing denoising operations based on the expectations; and a prediction module to generate predictions, including the first prediction, based on previously decoded frames.
    • 本文公开了一种使用用于视频压缩的量化噪声去除的环路去噪滤波器的方法和装置。 在一个实施例中,视频编码器包括变换编码器,用于将变换应用于表示当前帧和第一预测之间的差的残差帧,变换编码器输出编码差分帧作为视频编码器的输出; 变换解码器,用于响应于编码的差分帧产生重建的残余帧; 第一加法器,用于通过将所述重建的残差帧加到所述第一预测值来创建重构帧; 一个非线性去噪滤波器,通过导出预期并根据预期执行去噪操作来过滤重构帧; 以及预测模块,用于基于先前解码的帧来生成包括第一预测的预测。