Adaptive Vector Quantization for Lossy Compression of Image Sequences

Adaptive Vector Quantization for Lossy Compression of Image Sequences

In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes the input data in a single-pass, by using the properties of the vector quantization to approximate data. First, we review the key aspects of the AVQ algorithm and, subse...

Adaptive Quantization for Lossy Image Compression Controlled by Noise Detection

This contribution presents a new method for image-adaptive quantization in lossy compression schemes. It is a fact that most natural images contain some low-level noise caused by the recording process. This noise represents an irrelevant part of the digital image and can be removed without perceptible changes in the image. For that reason it is possible to quantize those images stronger, which ...

Performance Analysis of Vector Quantization Based Lossy Image Compression

This paper presents a Lossy image compression technique which is combination of discrete wavelet transform (DWT), Thresholding, Vector Quantization (VQ) and Huffman coding. Proposed method is as follows, First, DWT is performed on the original image then Globle Thresholding technique is applied and resulting coefficients are then vector quantized. VQ indices are Huffman coded to increase the co...

Vector Quantization for Image Compression-Concept Quantization

SSIM based image quality assessment for vector quantization based lossy image compression using LZW coding

The recent development in the digital electronics and computer engineering has resulted in generation of large amount of data in the digital form. High resolution images are required in many fields such as remote sensing, criminal investigation, medical imaging etc. This motivates the need of compression of the size of the data. The main objective of the present study is to obtain better qualit...