Wavelet Based Image Compression Algorithms – A Study
T.Karthikeyan, B.Praburaj, K.Kesavapandian
Abstract
Image compression is a process which helps us to minimize the utilization of storage space by compressing the image effectively which in turn it increases the data transmission rate. Image compression can be divided into lossy and lossless compression. Wavelet transform provide extensive improvement in picture quality at privileged compression ratio. EZW algorithm is based on liberal encoding to wrapping an image into a bit stream with accumulative precision. SPIHT is a very proficient image compression algorithm that is depends on the idea of coding groups of wavelet coefficients as zero trees. EBCOT algorithm exhibits state-of-the-art compression presentation while manufacturing a bit-stream with a rich superiority set. In this paper, we are going to make a study on merits and demerits of various compression algorithms such as Wavelet based compression algorithms EZW, SPIHT, EBCOT.
Keyword
Image Compression, Lossy, Lossless, Compression algorithms, EZW, SPIHT, EBCOT.