Optimum quantization error feedback filters for wavelet image coding

Zhihai He and S. K. Mitra
Department ofEletrical and Computer Engineering
University of California, Santa Barbara, CA 93106
{zhihai, mitra} [at] iplab.ece.ucsb.edu


In wavelet image compression, all information loss occurs during quantization. Based on the property of bi-orthogonal wavelets, optimal 2-D quantization error feedback filters are designed to reduce the reconstruction error. With very low complexity with regard to computation and implementation the error feedback system improves the PSNR of reconstructed image by about 0.25 dB. In addition, due to its similar structure to the dithered quantizer, it also improves the subjective quality of the reconstructed image by reducing the contouring and ranging effect.
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Zhihai He and S. K. Mitra,
IEEE International Conference on Image Processing (ICIP 2000), Vancouver, Canada, Sep. 2000.
Node ID: 303 , DB ID: 100 , Lab: IPL , Target: Proceedings
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