Image compression using nonlinear pyramid vector quantization. Multidimens. Syst. Signal Process - Song, Neuvo - 1994 () Citation Context ...ent residue level.sThe reason behind this representation is that the
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 ...
S.Esakkirajan,T.Veerakumar, et al.Image Compression using Contourlet Transform and Multistage Vector Quantization.GVIP Journal. 2006Esakkirajan S, Veerakumar T, Senthil Murugan V, and Sudhakar R. Image compression using contourlet transform and multistage vector quantization[J], International ...
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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 algorithms based on vector quantization (VQ) techniques have been researched for years. Recently, such algorithms have been implemented in hardware by several graphics chip vendors. Unlike DXTn, VQ decompression is as easy to do in software as it is in hardware, and might be ...
VECTOR QUANTIZATION OF OPTIMALLY GROUPED SETS AND IMAGE/SPEECH COMPRESSION.Y. Matsuyama
We present a novel image compression technique using a classified vector Quantizer and singular value decomposition for the efficient representation of still images. The proposed method is called hybrid classified vector quantization. It involves a simple but efficient classifier-based gradient method in ...
We introduce a new scalable image encoding technique which is geared to support image communication over unreliable channels. Our image encoding technique is based on the quadtree representation of images and vector quantization. We use a mean-removal technique to separate the means image and the dif...
k-means clustering is used for Image Compression. In this matlab program, the feature vectors are simply the N X N non-overlapping blocks of pixels in the image. Like a scalar quantizer, a vector quantizer has a quantization levels called codevectors and the set of K such codevectors is ...