Subjective coding of best basis wavelet coefficients for multiresolution analysis

Research output: Contribution to conferencePaper

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.

Original languageEnglish
Pages1363-1367
Number of pages5
Publication statusPublished - 1 Dec 1997
EventProceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3) - Singapore, Singapore
Duration: 9 Sep 199712 Sep 1997

Conference

ConferenceProceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)
CitySingapore, Singapore
Period9/09/9712/09/97

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    Gunawan, D. (1997). Subjective coding of best basis wavelet coefficients for multiresolution analysis. 1363-1367. Paper presented at Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3), Singapore, Singapore, .