Presentation 1999/12/16
Fractal Image Coding via use of Variable Shape Partitioning
Kennichi OSUMI, Yoshitaka MORIKAWA, Nobumoto YAMANE,
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Abstract(in English) This paper discusses variable shape partitioning method to improve coding performance of fractal image coding. In the quad-tree partitioning method, which is well known as one of variable shape partitioning, we divide detail region into small range blocks to improve quality of reconstructed image. However, since the number of range blocks increases, the rate-distortion characteristics are not necessarily improved. In this paper, we first introduce a partitioning method in which we control blocks such that their sides stand parallel to local directions and the number of pixels in block remains constant, and discuss the selection method to decide the fitting domain blocks. In the last, we carry out coding simulations for our and the existing methods, and show that rate-distortion characteristics of our method outperforms and the quality of reconstruction are much improved for images including many edges.
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Keyword(in English) fractal image coding / variable shape partitioning / quad-tree partitioning
Paper # CS99-126
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Committee CS
Conference Date 1999/12/16(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fractal Image Coding via use of Variable Shape Partitioning
Sub Title (in English)
Keyword(1) fractal image coding
Keyword(2) variable shape partitioning
Keyword(3) quad-tree partitioning
1st Author's Name Kennichi OSUMI
1st Author's Affiliation Faculty of Engineering, OKAYAMA University()
2nd Author's Name Yoshitaka MORIKAWA
2nd Author's Affiliation Faculty of Engineering, OKAYAMA University
3rd Author's Name Nobumoto YAMANE
3rd Author's Affiliation Faculty of Engineering, OKAYAMA University
Date 1999/12/16
Paper # CS99-126
Volume (vol) vol.99
Number (no) 510
Page pp.pp.-
#Pages 6
Date of Issue