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.
|Number of pages||5|
|Publication status||Published - 1997|
|Event||Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3) - Singapore, Singapore|
Duration: 9 Sep 1997 → 12 Sep 1997
|Conference||Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)|
|Period||9/09/97 → 12/09/97|