Vector Quantization is an essential and fundamental technique for lossy image compression. Codebook generation is very important influence in Vector Quantization (VQ).The objective of this research is to create a new inventive Algorithm which can be used to take input image in bits and apply...
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 ...
Image Compression Using DWT and Vector Quantization Ideally, an image compression technique removes redundant and/or irrelevant information, and efficiently encodes what remains. Image compression is most important for efficient transmission and storage space of images. Image compression ... TS Patel,R ...
"Image-Compression-Vector-Quantization"项目就是针对这个问题提供的一种解决方案,它利用了k-means聚类算法来实现图像的压缩。这里我们将深入探讨该方法的核心知识点。我们要了解矢量量化(Vector Quantization, VQ)。矢量量化是一种将高维数据空间中的数据点映射到低维码书(codebook)中的离散符号的过程。在图像压缩中,...
A novel approach to image compression using vector quantization of linear (one-step) prediction errors is presented in this paper. In order to minimize the image reconstruction error, we choose the optimum predictor coefficients (in a least-squares sense) that satisfy the additional constraint that...
A new coding scheme for image compression using vector quantization (VQ) is proposed. The new technique offers: (1) excellent edge reproduction to the extent that the reproduced edges are not staircased, (2) no noticeable blockiness in the reproduced image, and (3) very robust performance. Al...
, L., Timofte, R., Benini, L., Gool, L.V.: Soft-to-hard vector quantization for end-to-end learned compression of images and neural networks. ... E Agustsson 被引量: 14发表: 2017年 Confocal microscopic image sequence compression using vector quantization and three-dimensional pyramid The...
Inspired by this, we propose a new framework for image compression that combines compressed sensing theory with wavelet and vector quantization. Wavelet transform is used to sparsify the input image while measurement vectors generated from the sparse vectors are transmitted using vector quantization. ...
Dr.S.Sathappan, "A Vector Quantization Technique for Image Compression using Modified Fuzzy Possibilistic C-Means with Weighted Mahalanobis Distance", IJNIRCCE,S. Sathappan, "A vector Quantization Technique for Image Compression using Modified Fuzzy Posibilistic C-Means with Weighted Mahalanobis ...
Image Compression using Contourlet Transform and Multistage Vector Quantization. S.Esakkirajan,T.Veerakumar, et al. GVIP Journal . 2006Esakkirajan.S, Veerakumar.T, Senthilmurugan. V and Sudhakar.R., Image Compression using contourlet transform and multistage vector Quantization. GVIP Journal, ...