{"title":"Quantization Algorithm for Color Image Coding Based on Multi-Dimensional Vector Matrix DCT Orthogonal Transformation","authors":"Linlin Deng, Ping Fu, A. Sang, Silin Mang","doi":"10.1109/CISE.2009.5363332","DOIUrl":null,"url":null,"abstract":"The quantization process is a choice for signal after pretreatment. On the premise of guarantee of image quality, we can throw away information which has little effect on visual effect. Because quantization process is origin of information loss based on DCT coding and decoding, the quantizer is good or bad which has effect on coding efficiency and the quality of reconstructed image directly. This paper presents a 3D quantization algorithm for color image coding based on multi-dimensional vector matrix DCT orthogonal transform. Different quantization tables can be determined according to different frequency characteristics of each 8×8×3 3D RGB sub-block by this method. The method proved effective according to experiment. Keywordsmulti-dimensional vector matrix; color image coding; quantization","PeriodicalId":135441,"journal":{"name":"2009 International Conference on Computational Intelligence and Software Engineering","volume":"475 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Computational Intelligence and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISE.2009.5363332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The quantization process is a choice for signal after pretreatment. On the premise of guarantee of image quality, we can throw away information which has little effect on visual effect. Because quantization process is origin of information loss based on DCT coding and decoding, the quantizer is good or bad which has effect on coding efficiency and the quality of reconstructed image directly. This paper presents a 3D quantization algorithm for color image coding based on multi-dimensional vector matrix DCT orthogonal transform. Different quantization tables can be determined according to different frequency characteristics of each 8×8×3 3D RGB sub-block by this method. The method proved effective according to experiment. Keywordsmulti-dimensional vector matrix; color image coding; quantization
量化处理是信号预处理后的一种选择。在保证图像质量的前提下，我们可以丢弃对视觉效果影响不大的信息。由于量化过程是基于DCT编码和解码的信息丢失的根源，量化器的好坏直接影响到编码效率和重构图像的质量。提出了一种基于多维向量矩阵DCT正交变换的彩色图像三维量化编码算法。根据每个8×8×3 3D RGB子块的不同频率特性，可以确定不同的量化表。实验证明该方法是有效的。关键词多维向量矩阵;彩色图像编码;量化
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
