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Research Paper | Computer Science & Engineering | India | Volume 6 Issue 12, December 2017

Lossy Compression of Color Image Using EZW and BTC

Ajay Singh Yadav | Halima Sadia | Shashank Singh

Abstract: The images and videos are not only a medium of entertainment but also use for study and informational purpose. But these multimedia files consume huge memory space in hard disk as well as over the network, in order to save memory space we need to compress it. In beginning compression algorithms remove redundant data but now we have techniques like DWT (Discrete Wavelet Transform). Image compression algorithms like EZW, LZW, SPIHT are base on wavelets transform but initially they work on grayscale images. Hybrid image compression algorithms, where we hybridize two or more algorithm for better result, have been use for many times to provide efficient compression. In this paper, a hybrid algorithm is proposed which use EZW and BTC algorithm to compress a color image with the help of Huffman coding, here Huffman coding is use for the entropy coding. This hybrid system uses the wavelet decomposition to compress a color image and try to improve the results.

Keywords: DWT Discrete Wavelet Transform, EZW Embedded Zero Tree Wavelet Transform, BTC Block Truncation Coding, Huffman Coding

Edition: Volume 6 Issue 12, December 2017,

Pages: 1124 - 1127

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