Optimized Biorthogonal Shape Adaptive Wavelets

Alfred Mertins

doi:10.1109/ICIP.1998.999053

Optimized Biorthogonal Shape Adaptive Wavelets

Institute of Signal Processing

Abstract

This paper presents shape adaptive wavelet transforms for object-based image coding. Methods for recovering moment properties that are valid for the original filters and wavelets, but that get lost in the boundary regions of shape adaptive transforms, are presented. Furthermore, methods for equalizing the energies of the boundary wavelets are shown. This equalization allows to avoid that white quantization noise (introduced in the subbands) appears as highly colored noise in the reconstructed image.

Original language	English
DOIs	https://doi.org/10.1109/ICIP.1998.999053
Publication status	Published - 01.12.1998
Event	Proceedings of the 1998 International Conference on Image Processing - Chicago, United States Duration: 04.10.1998 → 07.10.1998 Conference number: 49290

Conference

Conference	Proceedings of the 1998 International Conference on Image Processing
Abbreviated title	ICIP1998
Country/Territory	United States
City	Chicago
Period	04.10.98 → 07.10.98

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10.1109/ICIP.1998.999053

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title = "Optimized Biorthogonal Shape Adaptive Wavelets",

abstract = "This paper presents shape adaptive wavelet transforms for object-based image coding. Methods for recovering moment properties that are valid for the original filters and wavelets, but that get lost in the boundary regions of shape adaptive transforms, are presented. Furthermore, methods for equalizing the energies of the boundary wavelets are shown. This equalization allows to avoid that white quantization noise (introduced in the subbands) appears as highly colored noise in the reconstructed image.",

author = "Alfred Mertins",

year = "1998",

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doi = "10.1109/ICIP.1998.999053",

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AB - This paper presents shape adaptive wavelet transforms for object-based image coding. Methods for recovering moment properties that are valid for the original filters and wavelets, but that get lost in the boundary regions of shape adaptive transforms, are presented. Furthermore, methods for equalizing the energies of the boundary wavelets are shown. This equalization allows to avoid that white quantization noise (introduced in the subbands) appears as highly colored noise in the reconstructed image.

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M3 - Conference Papers

T2 - Proceedings of the 1998 International Conference on Image Processing

Y2 - 4 October 1998 through 7 October 1998

ER -

Optimized Biorthogonal Shape Adaptive Wavelets

Abstract

Conference

UN SDGs

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