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Compressing and companding high dynamic range images with subband architectures

Published: 01 July 2005 Publication History

Abstract

High dynamic range (HDR) imaging is an area of increasing importance, but most display devices still have limited dynamic range (LDR). Various techniques have been proposed for compressing the dynamic range while retaining important visual information. Multi-scale image processing techniques, which are widely used for many image processing tasks, have a reputation of causing halo artifacts when used for range compression. However, we demonstrate that they can work when properly implemented. We use a symmetrical analysis-synthesis filter bank, and apply local gain control to the subbands. We also show that the technique can be adapted for the related problem of "companding", in which an HDR image is converted to an LDR image, and later expanded back to high dynamic range.

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        cover image ACM Transactions on Graphics
        ACM Transactions on Graphics  Volume 24, Issue 3
        July 2005
        826 pages
        ISSN:0730-0301
        EISSN:1557-7368
        DOI:10.1145/1073204
        Issue’s Table of Contents
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 01 July 2005
        Published in TOG Volume 24, Issue 3

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        Author Tags

        1. companding
        2. high dynamic range
        3. multiresolution
        4. multiscale
        5. range compression
        6. subbands
        7. tone mapping
        8. wavelets

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