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Analysis of Lossy Image Compression Using CCSDS Standard Algorithm using Various Quantization Factor

Author(s):

Dhara Nitinkumar Shah , Charusat University ,Changa; S.K.Hadia, Charusat University ,Changa

Keywords:

CCSDS Standard Recommendation, Initial Coding Of DC Coefficients, Quntization Factor

Abstract

— Image data compression is process to remove the redundant and irrelevant information from the image so that only essential information can be represented using less number of bits to reduce the storage size, transmission bandwidth and transmission time requirements. With Increase in Resolution of images and size there is continuous need of powerful compression techniques that provide higher compression ratio with higher performance in terms of better Peak signal to Noise Ratio and low Maximum Absolute Error ( MAE) . Consultative Committee for Space Data System (CCSDS) which is consortium of leading space agencies has defined such powerful compression standard called CCSDS “Image Data Compression”. It provides performance comparable to leading compression algorithms like JPEG2000 /SPIHT etc. This image compression standard is based on Discrete Wavelet Transform (DWT), low frequency DWT coefficient (DC-coefficient) quantization & Golomb-Rice coding and bit plane encoding of Higher frequency (AC) coefficients An outcome is produced for encoding performed to the low frequency substance of the DWT translated image because the human visual system is more delicate to the low frequency segment and encoding is carried out just on low frequency contains that gives lossy compression but accomplished high compression ratio. In this paper analyse the image with different quntization factor and shows that how many quntization bits are possible in image of low frequncy co-efficients and image visulization is available after reconstructing of image. Here in different images cheak with different quntization factor and cheak their compression parameter and image visulization.

Other Details

Paper ID: IJSRDV3I30789
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1831-1835

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