JPEG2000 Compatible Lossless Coding of Floating-Point Data

Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as JPEG2000, are only defined to operate on fixed-p...

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Main Author: Bryan E. Usevitch
Format: Article
Language:English
Published: SpringerOpen 2007-02-01
Series:EURASIP Journal on Image and Video Processing
Online Access:http://dx.doi.org/10.1155/2007/85385
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author Bryan E. Usevitch
author_facet Bryan E. Usevitch
author_sort Bryan E. Usevitch
collection DOAJ
description Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as JPEG2000, are only defined to operate on fixed-point or integer data. This paper proposes straightforward extensions to the JPEG2000 image compression standard which allow for the efficient coding of floating-point data. These extensions maintain desirable properties of JPEG2000, such as lossless and rate distortion optimal lossy decompression from the same coded bit stream, scalable embedded bit streams, error resilience, and implementation on low-memory hardware. Although the proposed methods can be used for both lossy and lossless compression, the discussion in this paper focuses on, and the test results are limited to, the lossless case. Test results on real image data show that the proposed lossless methods have raw compression performance that is competitive with, and sometime exceeds, current state-of-the-art methods.
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spelling doaj.art-f023aefb7b58481992f6a9c97b30fa792022-12-21T17:32:46ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812007-02-01200710.1155/2007/85385JPEG2000 Compatible Lossless Coding of Floating-Point DataBryan E. UsevitchMany scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since modern image compression standards, such as JPEG2000, are only defined to operate on fixed-point or integer data. This paper proposes straightforward extensions to the JPEG2000 image compression standard which allow for the efficient coding of floating-point data. These extensions maintain desirable properties of JPEG2000, such as lossless and rate distortion optimal lossy decompression from the same coded bit stream, scalable embedded bit streams, error resilience, and implementation on low-memory hardware. Although the proposed methods can be used for both lossy and lossless compression, the discussion in this paper focuses on, and the test results are limited to, the lossless case. Test results on real image data show that the proposed lossless methods have raw compression performance that is competitive with, and sometime exceeds, current state-of-the-art methods.http://dx.doi.org/10.1155/2007/85385
spellingShingle Bryan E. Usevitch
JPEG2000 Compatible Lossless Coding of Floating-Point Data
EURASIP Journal on Image and Video Processing
title JPEG2000 Compatible Lossless Coding of Floating-Point Data
title_full JPEG2000 Compatible Lossless Coding of Floating-Point Data
title_fullStr JPEG2000 Compatible Lossless Coding of Floating-Point Data
title_full_unstemmed JPEG2000 Compatible Lossless Coding of Floating-Point Data
title_short JPEG2000 Compatible Lossless Coding of Floating-Point Data
title_sort jpeg2000 compatible lossless coding of floating point data
url http://dx.doi.org/10.1155/2007/85385
work_keys_str_mv AT bryaneusevitch jpeg2000compatiblelosslesscodingoffloatingpointdata