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Image coding based on wavelet transform and uniform scalar dead zone quantizer
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DOI：10.1016/j.image.2006.03.007.png)
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Abstract
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In this paper, a new wavelet transform image coding algorithm is presented. The discrete wavelet transform (DWT) is applied to the original image. The DWT coefficients are firstly quantized with a uniform scalar dead zone quantizer. Then the quantized coefficients are decomposed into four symbol streams: a binary significance map symbol stream, a binary sign stream, a position of the most significant bit (PMSB) symbol stream and a residual bit stream. An adaptive arithmetic coder with different context models is employed for the entropy coding of these symbol streams. Experimental results show that the compression performance of the proposed coding algorithm is competitive to other wavelet-based image coding algorithms reported in the literature. (C) 2006 Elsevier B.V. All rights reserved.
Keywords:
wavelet
image coding
quantization
arithmetic coding
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