In recent years, the demand for image transmission and storage has increased dramatically, and research into efficient techniques for image compression has attracted extensive interest. Among many coding techniques, the laplacian pyramid structure (LPS) and visual vector quantization (VVQ) are two ...
To efficiently compress images, the spatial relations among image blocks to achieve low bit-rate compression has been widely adopted in these years. An example of using such spatial relations is side-match vector quantization (SMVQ). In this paper, a new technique utilizing support vector machines...
当当网图书频道在线销售正版《【预订】Vector Quantization and Signal Compression》,作者:Gersho,出版社:Springer。最新《【预订】Vector Quantization and Signal Compression》简介、书评、试读、价格、图片等相关信息,尽在DangDang.com,网购《【预订】Vector Qua
(进一步:http://blog.pluskid.org/?p=57 ) http://en.wikipedia.org/wiki/Vector_quantization http://www.data-compression.com/vq.html http://www.authorstream.com/Presentation/aSGuest47782-409450-vector-quantization-image-compression-method-science-technology-ppt-powerpoint/ http://www.willamette.edu/...
Image Compression is a technique for competently coding digital image by minimizing the number of bits needed for denoting image. Its main goal is to reduce the storage space and cut down the transmission cost and maintain good quality. In the present wo
Patel, "Image Compression Using DWT and Vector Quantization", International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, Issue 3, May 2013.Tejas S. Patel, Ravindra Modi, Keyur J. Patel, "Image Compression Using DWT and Vector Quantization", International ...
网络向量纹理压缩 网络释义 1. 向量纹理压缩 计算机术语大全 ... (Vector-Quantization Texture Compression,向量纹理压缩) (Vertex Shaders, 顶点描影) ... www.360doc.com|基于213个网页
3 Proposed Soft-to-Hard Vector Quantization 3.1 Problem Formulation L个中心矢量,维度为d/m,将d维的特征转化为[L]m;原始特征z由m个d/m维的矢量构成,每个矢量选择采用最近邻算法。 由于带参数σ的softmax操作可以找到最近邻,当σ趋向于正无穷的时候,对应标签即为1,这就是硬分配;σ表示分配的硬度。
implementationofvectorquantizationinimagecompressionrequiresthedecompositionoftheimageintoanumberofrectangularblocks.Eachoftheseblocksformsavector,alsocalledtrainingdatavector.Then,theobjectiveofvectorquantizationistoclassifyallthetrainingdatavectorsintoanumberofclusters.Thisisaccomplishedbyminimizingadistortionmeasure.The...
belongstothefamilyofNNalgorithmswhosemaingoalisthediscoveryofinputdataclusters,withoutconsideringtheiractualsize.ThisfeaturemakesthemodifiedART2algorithmveryconvenientforimagecompressiontasks,particularlywhendealingwithimageswithlargebackgroundareascontainingfewdetails.Moreover,duetotheabilitytoproducehierarchicalquantization(...