专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

21. 发明申请

US20100046849A1 Image Restoration By Vector Quantization Utilizing Visual Patterns 有权
标题翻译：通过矢量量化利用视觉模式的图像恢复
公开(公告)号：US20100046849A1
公开(公告)日：2010-02-25
申请号：US12194552
申请日：2008-08-20
申请人： Feng Wu , Xiaoyan Sun
发明人： Feng Wu , Xiaoyan Sun
IPC分类号： G06K9/00 , G06K9/36
CPC分类号： G06T5/002 , G06T3/40 , G06T5/003 , G06T9/008 , H04N19/59 , H04N19/85
摘要： The restoration of images by vector quantization utilizing visual patterns is disclosed. One disclosed embodiment comprises restoring detail in a transition region of an unrestored image, by first identifying the transition region and forming blurred visual pattern blocks. These blurred visual pattern blocks are compared to a pre-trained codebook, and a corresponding high-quality visual pattern blocks is obtained. The high-quality visual pattern block is then blended with the unrestored image to form a restored image.
摘要翻译：公开了通过使用视觉图案的矢量量化来恢复图像。一个公开的实施例包括通过首先识别过渡区域并形成模糊的视觉图案块来恢复未恢复图像的过渡区域中的细节。将这些模糊的视觉图案块与预训练的码本进行比较，并获得相应的高质量可视图案块。然后将高质量的视觉图案块与未恢复的图像混合以形成恢复的图像。

22. 发明申请

US20090317012A1 METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR OPTIMIZATION OF DATA COMPRESSION 有权
标题翻译：方法，系统和计算机程序产品优化数据压缩
公开(公告)号：US20090317012A1
公开(公告)日：2009-12-24
申请号：US12491764
申请日：2009-06-25
申请人： En-hui Yang , Longji Wang
发明人： En-hui Yang , Longji Wang
IPC分类号： G06K9/36
CPC分类号： H04N1/415 , G06T9/008 , H04N19/126 , H04N19/13 , H04N19/147 , H04N19/19 , H04N19/192 , H04N19/60 , H04N19/90 , H04N19/93
摘要： A method, system and computer software product for improving rate-distortion performance while remaining faithful to JPEG/MPEG syntax, involving joint optimization of Huffman tables, quantization step sizes and quantized coefficients of a JPEG/MPEG encoder. This involves finding the optimal coefficient indices in the form of (run, size) pairs. By employing an interative process including this search for optimal coefficient indices, joint improvement of run-length coding, Huffman coding and quantization table selection may be achieved. Additionally, the compression of quantized DC coefficients may also be improved using a trellis-structure.
摘要翻译：一种方法，系统和计算机软件产品，用于提高速率失真性能，同时保持对JPEG / MPEG语法的忠诚，包括联合优化霍夫曼表，量化步长和JPEG / MPEG编码器的量化系数。这涉及以（运行，大小）对的形式找到最优系数指数。通过采用包括对最优系数指标的搜索的交互处理，可以实现游程长度编码，霍夫曼编码和量化表选择的联合改进。另外，也可以使用网格结构来改进量化DC系数的压缩。

23. 发明申请

US20090169118A1 Systems and Methods for Image Pattern Recognition 有权
标题翻译：图像模式识别系统与方法
公开(公告)号：US20090169118A1
公开(公告)日：2009-07-02
申请号：US12400981
申请日：2009-03-10
申请人： Ole Eichhorn , Dirk G. Soenksen
发明人： Ole Eichhorn , Dirk G. Soenksen
IPC分类号： G06K9/62
CPC分类号： G06K9/6218 , G06K9/00147 , G06T9/008 , G06T9/40 , H04N19/94 , H04N19/96
摘要： Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (“VQ”) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics. In virtual microscopy, the systems and methods are suitable for rare-event finding, such as detection of micrometastasis clusters, tissue identification, such as locating regions of analysis for immunohistochemical assays, and rapid screening of tissue samples, such as histology sections arranged as tissue microarrays (“TMAs”).
摘要翻译：用于图像模式识别的系统和方法包括使用图像的矢量量化（“VQ”）的数字图像捕获和编码。通过将图像分割为内核并创建与每个内核相对应的向量来构建向量的词汇表。通过创建具有指向存储在词汇表中的向量的索引的向量索引文件对图像进行编码。向量索引文件可用于通过查找存储在词汇表中的向量来重建图像。可以通过将图像向量与包括与特定图像特征相关的向量的预先训练的矢量集合的词汇相关联来实现图像的候选区域的模式识别。在虚拟显微镜中，系统和方法适用于罕见事件发现，例如检测微转移簇，组织鉴定，例如免疫组织化学测定的分析区域以及组织样品的快速筛选，例如排列成组织的组织切片微阵列（“TMA”）。

24. 发明申请

US20090003692A1 Texture Compression Based on Two Hues with Modified Brightness 有权
标题翻译：基于改进亮度的两个色调的纹理压缩
公开(公告)号：US20090003692A1
公开(公告)日：2009-01-01
申请号：US12064207
申请日：2006-07-14
申请人： Martin Pettersson , Jacob Strom
发明人： Martin Pettersson , Jacob Strom
IPC分类号： G06K9/36
CPC分类号： G06T9/008 , G06T9/005
摘要： In an image-encoding scheme, an input image is decomposed into image blocks comprising multiple image elements. The image blocks are then encoded into encoded blocks. An encoded block comprises a first color codeword, a second color codeword, a color modifier codeword and a color index sequence. The color codewords are representations of a first and second base color located on a first line in color space. The modifier codeword is a representation of at least one color modifier for modifying the first base color along a second line to obtain multiple color representations along the line. The second line has a different direction as compared to the first line. The index sequence comprises color indices associated with a color representation selected form i) the representations on the second line and ii) at least one representation based on the second base color.
摘要翻译：在图像编码方案中，输入图像被分解成包括多个图像元素的图像块。然后将图像块编码为编码块。编码块包括第一颜色码字，第二颜色码字，颜色修饰符码字和颜色索引序列。颜色代码字是位于颜色空间中的第一行上的第一和第二基色的表示。修饰符码字是至少一个颜色修饰符的表示，用于沿着第二条线修改第一基色以沿着该线获得多个颜色表示。第二行与第一行的方向不同。索引序列包括与从i）第二行上的表示相关联的颜色表示的颜色索引，以及ii）基于第二基本颜色的至少一个表示。

25. 发明授权

US07463782B2 Data encoding with an amplitude model and path between the data and corresponding decoding 失效
标题翻译：数据编码与幅度模型和数据路径之间的对应解码
公开(公告)号：US07463782B2
公开(公告)日：2008-12-09
申请号：US10701018
申请日：2003-11-05
申请人： Guillaume Fuchs , Félix Henry
发明人： Guillaume Fuchs , Félix Henry
IPC分类号： G06K9/36 , G06K9/46
CPC分类号： H03M7/30 , G06T9/008 , H03M7/3082 , H04N19/129 , H04N19/132 , H04N19/147 , H04N19/152 , H04N19/154 , H04N19/176 , H04N19/18 , H04N19/50
摘要： A method of encoding a set of data representing physical quantities includes forming a path between the samples of the set, the path passing a maximum of once via each sample location. For two given successive sample locations of the path, the method includes the step of forming a vector between the two sample locations, only taking into account the intermediate sample locations not already encoded by a vector.
摘要翻译：对表示物理量的一组数据进行编码的方法包括：在集合的采样之间形成路径，路径经由每个采样位置经过最多一次。对于路径的两个给定的连续采样位置，该方法包括在两个采样位置之间形成矢量的步骤，仅考虑尚未由矢量编码的中间采样位置。

26. 发明申请

US20080031534A1 DIGITAL MAP SHAPE VECTOR ENCODING METHOD AND POSITION INFORMATION TRANSFER METHOD 有权
标题翻译：数字地图形状矢量编码方法和位置信息传输方法
公开(公告)号：US20080031534A1
公开(公告)日：2008-02-07
申请号：US11870731
申请日：2007-10-11
申请人： Shinya Adachi
发明人： Shinya Adachi
IPC分类号： G06K9/36
CPC分类号： G06T9/008 , G06T9/20 , H04N19/40 , H04N19/51 , H04N19/59
摘要： It is an object to provide a method of coding the position information of a digital map in a small data volume by utilizing a compressing and coding technique. In a coding method of coding data indicative of a shape vector on a digital map, an arithmetic processing is carried out over position information about a node string and a shape which indicate the shape vector to be represented by data having a statistical deviation, and the data having the statistical deviation are coded to reduce a data volume. It is possible to considerably decrease a transmission data volume in the case in which the vector shape of the digital map is to be transferred.
摘要翻译：本发明的目的是提供一种利用压缩编码技术对小数据量的数字地图的位置信息进行编码的方法。在对数字地图上的表示形状矢量的数据进行编码的编码方法中，进行关于节点串的位置信息和表示由具有统计偏差的数据表示的形状矢量的形状的运算处理，具有统计偏差的数据被编码以减少数据量。在要传送数字地图的矢量形状的情况下，可以显着地减少传输数据量。

27. 发明授权

US07305140B2 System and method for robust image representation over error-prone channels 有权
标题翻译：用于在容易出错的信道上进行鲁棒图像表示的系统和方法
公开(公告)号：US07305140B2
公开(公告)日：2007-12-04
申请号：US10625364
申请日：2003-07-23
申请人： Jun Xin , Shipeng Li , Ya-Qin Zhang
发明人： Jun Xin , Shipeng Li , Ya-Qin Zhang
IPC分类号： G06K9/38
CPC分类号： G06T9/008
摘要： An image distribution system has a source that encodes digital images and transmits them over an error-prone channel to a destination. The source has an image coder that processes the digital images using vector transformation followed by vector quantization. This produces groups of vectors and quantized values that are representative of the images. The image coder orders the vectors in the codebooks and assigns vector indexes to the vectors such that a bit error occurring at a less significant bit in a vector index results in less distortion than a bit error occurring at a more significant bit. Depending upon the format and the capabilities of the source and destination, the image coder may allocate different numbers of bits to different groups of vectors according to a bit allocation map for this allocation process. The source also has a UEP (Unequal Error Protection) coder that layers the vector indexes according to their significance. Two possible approaches include frequency-based UEP and bit-plane based UEP. The source transmits a bitstream that includes the image values, a bit allocation map, and the layered vector indexes. The destination receives the bitstream and recovers the vectors using the vector indexes and bit allocation map. The destination then reconstructs the image from the image values and the vectors.
摘要翻译：图像分配系统具有对数字图像进行编码并将其通过易出错的信道发送到目的地的源。源具有图像编码器，其使用向量变换处理数字图像，随后进行矢量量化。这产生代表图像的矢量组和量化值。图像编码器对码本中的向量进行排序，并向向量分配向量索引，使得在矢量索引中以较低有效位发生的位错误导致比在更高有效位处发生的位错误更少的失真。根据源和目的地的格式和能力，图像编码器可以根据用于该分配处理的比特分配图来向不同的向量组分配不同数量的比特。该源还具有UEP（不等错误保护）编码器，其根据其意义对向量索引进行分层。两种可能的方法包括基于频率的UEP和基于位平面的UEP。源发送包括图像值，比特分配图和分层向量索引的比特流。目的地接收比特流并使用向量索引和比特分配映射来恢复向量。目的地然后从图像值和向量重建图像。

28. 发明申请

US20070041652A1 Method for imaging coding by rate-distortion adaptive zero-tree-based residual vector quantization and system for effecting same 有权
标题翻译：用于通过速率失真自适应零树残差向量量化的成像编码方法和用于实现其的系统
公开(公告)号：US20070041652A1
公开(公告)日：2007-02-22
申请号：US11515227
申请日：2006-09-01
申请人： Scott Budge , Qun Gu
发明人： Scott Budge , Qun Gu
IPC分类号： G06K9/36 , G06K9/46
CPC分类号： G06T9/008 , H04N19/102 , H04N19/103 , H04N19/12 , H04N19/147 , H04N19/187 , H04N19/1883 , H04N19/63 , H04N19/635 , H04N19/647 , H04N19/94
摘要： Methods and systems for encoding, transmitting and decoding digital images by rate-distortion adaptive zerotree-based residual vector quantization are disclosed. A method of the invention includes receiving a digital image, transforming the digital image into the wavelet domain generating a pyramid hierarchy, losslessly encoding a top LL subband from the pyramid hierarchy, encoding other subbands by vector quantization based on a zerotree insignificance prediction, generating an encoded image from the lossless encoding and vector quantization encoding, transmitting the encoded image along a communications channel, receiving the encoded image transmitted along the communications channel, reconstructing a zerotree from the encoded image, vector quantization decoding subbands from the encoded image other than a top LL subband, losslessly decoding the top LL subband from the encoded image, reverse wavelet transforming the top LL subband and the vector quantization decoded subbands and outputting a decoded image.
摘要翻译：公开了通过基于速率失真自适应零树的残差矢量量化对数字图像进行编码，发送和解码的方法和系统。本发明的方法包括接收数字图像，将数字图像变换成产生金字塔层次的小波域，从金字塔层次中无损编码顶层LL子带，通过基于零点无意义预测的矢量量化对其他子带进行编码，生成来自无损编码和矢量量化编码的编码图像，沿着通信信道发送编码图像，接收沿着通信信道发送的编码图像，从编码图像重构零树，从不同于顶部的编码图像向量化解码子带 LL子带，从编码图像无损地解码顶层LL子带，反向小波变换顶部LL子带和矢量量化解码子带，并输出解码图像。

29. 发明授权

US06937741B1 Image processing apparatus and method, and storage medium therefor 失效
标题翻译：图像处理装置和方法及其存储介质
公开(公告)号：US06937741B1
公开(公告)日：2005-08-30
申请号：US09722397
申请日：2000-11-28
申请人： Tomoyuki Miyashita
发明人： Tomoyuki Miyashita
IPC分类号： G06K9/00 , G06T9/00
CPC分类号： G06T9/008
摘要： An average of pattern scores of a target binary image is obtained based upon the target binary image and first principal component vectors of a reference pattern, and the average of pattern scores of the target binary image is compared with a reference-pattern score that is based upon a sum total of distances between the first principal component direction of the reference pattern and a standard vector. Feature vector space of the target binary image is translated in accordance with the result of the comparison and access control information to be embedded in the target binary image, and an image is formed upon altering the target binary image based upon the result obtained by translating the feature vector space.
摘要翻译：基于目标二值图像和参考图案的第一主分量向量来获得目标二值图像的图形分数的平均值，并将目标二值图像的图案分数的平均值与基于基准的参考图案分数进行比较基于参考图案的第一主分量方向与标准矢量之间的距离的总和。根据要嵌入目标二进制图像的比较和访问控制信息的结果来翻译目标二进制图像的特征向量空间，并且基于通过翻译所获得的结果来改变目标二值图像而形成图像特征向量空间。

30. 发明授权

US06895121B2 Method for utilizing subject content analysis for producing a compressed bit stream from a digital image 有权
标题翻译：用于利用主题内容分析从数字图像产生压缩比特流的方法
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。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式