An Enhanced Wavelet based Image Compression Technique
An Enhanced Wavelet based Image Compression Technique
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Keywords

MEZW
wavelet
image compression methods
run length encoding
PSNR
entropy

How to Cite

Teena Hadpawat, & Naveen Choudhary. (2015). An Enhanced Wavelet based Image Compression Technique. Global Journal of Computer Science and Technology, 15(H2), 1–7. Retrieved from https://gjcst.com/index.php/gjcst/article/view/870

Abstract

With the fast expansion of multimedia technologies the compression of multimedia data has become an important aspect Image compression is important for efficient storage and transmission of images The limitation in bandwidth of wireless channels has made data compression a necessity Wireless channels are bandwidth limited and due to this constraint of wireless channels progressive image transmission has gained much popularity and acceptance The Embedded Zerotree Wavelet algorithm EZW is based on progressive encoding in which bits in the bit stream are generated in order of importance The EZW algorithm code all the frequency band of wavelet coefficients as the same importance without considering the amount of information in each frequency band This paper presents an enhanced wavelet based approach to overcome the limitation of the Embedded Zerotree Wavelet EZW algorithm This method divides the image into some sub-blocks
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