Title :
Quantization of wavelet coefficients
Author :
Ganin, Aleksander N. ; Priorov, Andrey L.
Author_Institution :
Yaroslavl State Univ., Russia
Abstract :
The wavelet coefficients quantization model is suggested in this paper. Quantization is represented as addition of noise by equal parts in all bands of the wavelet transform. The linear approximation model of dependence of quantizing distortion power from a quantizing interval is considered. It is shown that use of the pointed model allows increased efficiency of picture coding.
Keywords :
image coding; interpolation; noise; quantisation (signal); wavelet transforms; digital image processing; linear approximation model; linear-law interpolation; noise addition; picture coding efficiency; pointed model; quantizing distortion power; quantizing interval; wavelet coefficients quantization model; wavelet transform bands; Discrete transforms; Frequency; Hydrogen; Image coding; Interpolation; Low-frequency noise; PSNR; Quantization; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Circuits and Systems for Communications, 2002. Proceedings. ICCSC '02. 1st IEEE International Conference on
Print_ISBN :
5-7422-0260-1
DOI :
10.1109/OCCSC.2002.1029080
