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Proceedings Paper

Progressive image transmission using pyramid structure and pattern matching coding
Author(s): F. Keissarian
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Paper Abstract

A pyramidal data structure suited for coding and progressive transmission of images is proposed in this work. A mean pyramid representation of an image is first built up by forming a sequence of reduced-size images. A pyramid of difference images is then generated by subtracting the previous coded image from the original image at each level of the pyramid. Progressive transmission is achieved by sending all the nodes in the difference pyramid starting from the top level and ending at the bottom level. To gain efficiency, a pattern matching- based coding algorithm is applied to the difference pyramid of the image on a level-by-level basis. The proposed coding method, compresses the difference images by using a set of parameters computed based the visual activity of individual image blocks. The coding efficiency of the proposed technique along with the low computational complexity and simple parallel implementation of the pyramid approach allows for a high compression ratio as well as a good image quality. Satisfactory coded images have been obtained at bit rates in the range of 0.30 - 0.33 bits per pixel (bpp).

Paper Details

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80092G (8 July 2011); doi: 10.1117/12.896672
Show Author Affiliations
F. Keissarian, Monash Univ. (Malaysia)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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