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Image compression via edge-based wavelet transform

Abstract

An edge-based wavelet transform is proposed for image compression. In the encoder, first the dominant edges of an image are detected and coded as side information. Then, the wavelet transform (WT) is carried out in such a way that no filtering over previously detected edges is performed. Compression examples show that the edge-based WT achieves good reproduction of sharp edges-even at very low bit rates. Because of the additional side information, the PSNR is typically slightly lower than for standard wavelet coders. But the picture quality scale, an objective quality measure that better reflects thee subjective impression, shows superior results for the proposed coder.

Original languageEnglish
JournalOptical Engineering
Volume38
Issue number6
Pages (from-to)991-1000
Number of pages10
ISSN0091-3286
DOIs
Publication statusPublished - 01.01.1999

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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