Title :
Subjective coding of best basis wavelet coefficients for multiresolution analysis
Author_Institution :
Dept. of Electr. Eng., Indonesia Univ., Depok, Indonesia
Abstract :
This paper presents a wavelet based image compression algorithm using subjective thresholding and quantization of the wavelet coefficients. subjective compression techniques use the properties of the human visual system (HVS) to eliminate redundant information in an image. By combining the wavelet transform coefficients with psychovisual thresholding and quantization schemes, a coding result of 0.31 bits per pixels has been obtained with weighted PSNR of 39.07 dB
Keywords :
data compression; image coding; image resolution; quantisation (signal); transform coding; visual perception; wavelet transforms; best basis wavelet coefficients; human visual system; image compression algorithm; multiresolution analysis; pixels; psychovisual thresholding; quantization; subjective coding; subjective compression; subjective thresholding; wavelet transform coefficients; weighted PSNR; Binary trees; Bit rate; Cost function; Image coding; Multiresolution analysis; Quantization; Signal resolution; Wavelet analysis; Wavelet coefficients; Wavelet packets;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652212
