Implementation of Hybrid Wavelet Transform for Adaptive Lossless Image Compression
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: In digital image processing, Image compression is a type of data compression causing reduction in image size but maintain the image quality. It reduce cost and time in image storage and transmission and thuscan enhance the performance of the digital system. The main purpose is to reduce and restored the volume of data such that the real image will be perfectly rebuild from the compressed image. So, a proper selection ofencoding and decoding algorithm is require for image compression. Among the algorithms, EZW is one of the best image compression algorithm and is also computationally fast. Here, a method for lossless compression ofimage is projected which uses the Embedded Zero trees of Wavelet Transforms in combination with Huffman coding and LZW algorithm for further compression. The objective is to calculate the optimal threshold at eachspecific level of decomposition for the compression of a digital image. Tables of result are shown using this proposed method for 8-decomposition level of image size 256*256 which determined Ratio of compression, Bits per pixel and PSNR for each distinct values of threshold vary from 4 to 64.
Authors and Affiliations
Dibas Sil , Bramah Hazela
Keywords
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