Modifications of Uniform Quantization Applied in Wavelet Coder

Authors:
Artur Przelaskowski
Affiliations:
-
Venue:
DCC '00 Proceedings of the Conference on Data Compression
Year:
2000

Citing 6
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Abstract

An algorithm of wavelet domain data quantization aimed at improving compression efficiency is presented. Threshold data selection is proposed as more effective uniform quantization modification than zero-zone increasing. To fit adaptively threshold value to local image features, the estimation of significance expectation for each wavelet coefficient was included into thresholding procedure. The remaining data are uniformly quantized without any changes of bin boundaries.As a result, more effective low-cost quantization scheme was constructed. It allows significantly increase image compression efficiency. Experimental Rate-Distortion curve shows the same distortion for decreased bit rates even up to 20% in comparison to standard uniform quantization. Such quantization technique was applied in wavelet coder with optimized schemes of decomposition and zerotree based coding. Its compression efficiency is competitive with the most efficient methods across all natural images tested.