Image compression using the wavelet transform and context-based arithmetic coding

Seungjong Kim; Jechang Jeong

doi:10.1117/12.477132

31 July 2002 Image compression using the wavelet transform and context-based arithmetic coding

Seungjong Kim, Jechang Jeong

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477132
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

Abstract

In this paper, we propose an image compression method using the wavelet transform and context-based arithmetic coding exploiting bit plane conelation. The proposed method decomposes an image into several subband images using the discrete wavelet transform; the transform coefficients in each subband are classified into two classes; each subband image is then quantized; a "shuffling" process is applied to quantized wavelet coefficients; and finally arithmetic coding using the optimum context is carried out for bit plane coding of each subband. The performance improvement of the proposed method turns out to be mainly due to the "shuffling" process and the optimum context for arithmetic coding. Experimental results show that the proposed coder is similar to or superior to well-known existing coders, e.g. EZW and SPIHT, for images with low conelation.

Citation Download Citation

Seungjong Kim and Jechang Jeong "Image compression using the wavelet transform and context-based arithmetic coding", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477132

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