Content-Driven Progressive Transmission of Grey-Scale Images

Dreizen, Howard M.

doi:10.1109/tcom.1987.1096771

Cited by 27 publications

(1 citation statement)

References 13 publications

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“…Although a number of methods other than [2][3][4][5] have been proposed to date for the progressive coding of quadtree (e.g., [2,5]), these other methods do not provide fully progressive functionality. We propose an image compression and progressive transmission with CCQ.…”

Section: Introductionmentioning

confidence: 99%

Progressive Transmission with Compact Complementary Quadtree

Lee

Kim

2009

2009 Asia-Pacific Conference on Information Processing

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This paper proposes a new progressive transmission with quadtree in order to improve progressive transmission of an image in two viewpoints of bit-plane and spatial transmission, in addition to compression efficiency. The scheme of this paper is based on a compact complementary quadtree(CCQ) with a bitplane coding. Basically, quadtree includes a function of progressive transmission with multilevel function. CCQ improves this function and this paper uses bit-plane coding for efficient progressive transmission of bitplane and spatial. Experimental results demonstrate that the new scheme is quite competitive to and often outperforms other good image coders in the literature.

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Section: Introductionmentioning

confidence: 99%

Progressive Transmission with Compact Complementary Quadtree

Lee

Kim

2009

2009 Asia-Pacific Conference on Information Processing

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Content‐driven pyramid compression of medical images for error‐free archival and progressive transmission

Lotti

Aiazzi

Baronti

et al. 1995

Trans Emerging Tel Tech

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An efficient encoding scheme based on an improved Laplacian pyramid is proposed for lossless/lossy compression aimed at archival and progressive transmission of grayscale medical images. The major assets are: pyramid entropy is decreased by adopting two different filters for reduction and expansion; encoding priority is given to major details through a hierarchical content‐driven decision rule; the binary quad‐tree of split/unsplit nodes is blockwise zig‐zag scanned and run‐length encoded. Error feedback along the levels of the Laplacian pyramid ensures control of the maximum absolute error, up to fully reversible reconstruction capability, and enhances the efficiency and the robustness of the whole scheme. While coding results on the standard greyscale image Lena are pretty competitive with the most recent literature, reversible compression of scanned RX images achieves ratios of about 1:5, establishing improvements over DPCM schemes; high‐quality lossy versions at 0.15 bit/pel outperform JPEG both visually and quantitatively. Moreover, no floating‐point computation is required in the algorithm, and on‐line compression and reconstruction are feasible on general‐purpose terminals.

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