Title :
Optimum quantization error feedback filter for wavelet image compression
Author :
He, Zhihai ; Mitra, Sanjit K.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
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 used to reduce the reconstruction error. With very low complexity with regard to computation and implementation, the error feedback system improves the PSNR of the 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 effects
Keywords :
circuit feedback; data compression; image coding; image reconstruction; quantisation (signal); two-dimensional digital filters; wavelet transforms; 2D error feedback filter; PSNR; bi-orthogonal wavelets; contouring effects reduction; dithering effect; error reconstruction; low complexity; optimum quantization error feedback filter; ranging effects reduction; reconstructed image; subjective quality; wavelet image compression; Computer errors; Digital filters; Feedback loop; Filter bank; Finite impulse response filter; Helium; Image coding; Image reconstruction; PSNR; Quantization;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899321
