Subjective coding of best basis wavelet coefficients for multiresolution analysis

Dadang Gunawan

Subjective coding of best basis wavelet coefficients for multiresolution analysis

Department of Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	1363-1367
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 Sept 1997 → 12 Sept 1997

Conference

Conference	Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)
City	Singapore, Singapore
Period	9/09/97 → 12/09/97

Cite this

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title = "Subjective coding of best basis wavelet coefficients for multiresolution analysis",

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.",

author = "Dadang Gunawan",

year = "1997",

language = "English",

pages = "1363--1367",

note = "Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3) ; Conference date: 09-09-1997 Through 12-09-1997",

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AU - Gunawan, Dadang

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

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M3 - Paper

AN - SCOPUS:0031357588

SP - 1363

EP - 1367

T2 - Proceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)

Y2 - 9 September 1997 through 12 September 1997

ER -

Subjective coding of best basis wavelet coefficients for multiresolution analysis

Abstract

Conference

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