In VQ, the input image data is first decomposed into k-dimensional input vectors.Those input vectors can be generated in a number of different ways; they can refer to the pel values themselves or to some appropriate transformation of them.

and the set of all the codewords is called a codebook. It is shown that MMF effectively decorrelates the difference pyramids, … The vector quantization carried out by three steps encoder, channel and decoder. In this paper, we present a new image compression scheme that exploits the VQ technique in a hierarchical nonlinear pyramid structure. 7.

Each vector yi is called a code vector or a codeword.


We use multistage median filters (MMF) to build the image pyramids.

Input images are first distorted by a In vector quantization , a vector is selected from a finite list of possible vectors to represent an input vector of samples. Vector quantization is a lossy compression technique used in speech and image coding. Suppose we have a codebook of size k, and the input vector is of dimension L.

VECTOR QUANTIZATION• The amount of compression will be described in terms of the rate, which will be measured in bits per sample. Image pyramids generated by MMF show a better details preservation than the ones generated by Burt's kernel. Image-compression algorithms based on vector quantization (VQ) techniques have been researched for years. Vector quantization (VQ) is a block-based spatial-domain method that has become very popular since the early 1980s. The vector Quantization used for the image compression. The basic arrangement of vector quantization is shown in the figure where blocks represent the overall process for image compression system. In scalar quantization, a scalar value is selected from a finite list of possible values to represent a sample. Image Compression by Visual Pattern Vector Quantization (VPVQ) Feng Wu, Xiaoyan Sun Microsoft Research Asia, Beijing, China {fengwu, xysun}@microsoft.com Abstract This paper proposes a new image compression scheme by introducing visual patterns to nonlinear interpolative vector quantization (IVQ). Recently, such algorithms have been implemented …


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