Mixed content image compression by gradient field integration

Ilbery, Peter, Taubman, David and Bradley, Andrew (2008). Mixed content image compression by gradient field integration. In: R. Chellappa and B. Girod, 15th IEEE International Conference on Image Processing. International Conference on Image Processing (ICIP 2004), San Diego, California, (1053-1056). 12-15 October 2008. doi:10.1109/ICIP.2008.4711939

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Author Ilbery, Peter
Taubman, David
Bradley, Andrew
Title of paper Mixed content image compression by gradient field integration
Conference name International Conference on Image Processing (ICIP 2004)
Conference location San Diego, California
Conference dates 12-15 October 2008
Proceedings title 15th IEEE International Conference on Image Processing   Check publisher's open access policy
Journal name 2008 15th Ieee International Conference On Image Processing, Vols 1-5   Check publisher's open access policy
Place of Publication Los Alamitos, CA, USA
Publisher IEEE
Publication Year 2008
Year available 2008
Sub-type Fully published paper
DOI 10.1109/ICIP.2008.4711939
Open Access Status Not yet assessed
ISBN 978-1-4244-1765-0
ISSN 1522-4880
Editor R. Chellappa
B. Girod
Start page 1053
End page 1056
Total pages 4
Language eng
Abstract/Summary Sketch based image coding decomposes an input image into a piece-wise smooth approximation image and a residual image. Image compression by gradient field integration follows this model, but differs by generating the approximation image from gradient data along edge contours and regularly sampled low resolution image data. This allows direct and efficient calculation of an approximation image which is smooth between edges. In this paper, we describe the image compression by gradient field integration approach, together with a low complexity implementation intended for near visually lossless compression of mixed content images. The implementation uses gradient field integration by scanline convolution, simple edge data extraction, DCT residual image coding and is block-based; it is suited to compression of images containing sharp edges occurring along pixel borders. Compression results are provided indicating potential gains from this method.
Subjects E1
970101 Expanding Knowledge in the Mathematical Sciences
080106 Image Processing
Keyword image coding
integration
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collections: 2009 Higher Education Research Data Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 10 Apr 2009, 21:07:28 EST by Ms Kimberley Nunes on behalf of School of Information Technol and Elec Engineering