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Optical Engineering

Fast fractal decoding algorithm with convergence criteria
Author(s): Yong Ho Moon; Kwang Ryul Baek; Yoon-Soo Kim; Jae Ho Kim
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Paper Abstract

In fractal decoding procedures, the reconstructed image is obtained by means of a predefined number of iterations with an arbitrary initial image. A novel fast decoding algorithm with convergence criteria is proposed. It is composed of a selective decoding of range blocks with a block convergence criterion (BCC), estimation of an initial image, and one-buffer decoding. In the proposed algorithm, continuation of the decoding process is judged by an image convergence criterion (ICC), not by the predefined number of iterations. Without redundant iterations and loss of quality, the reconstructed image is obtained by the amount of calculations corresponding to only three to four iterations of the general decoding procedure.

Paper Details

Date Published: 1 July 1997
PDF: 8 pages
Opt. Eng. 36(7) doi: 10.1117/1.601406
Published in: Optical Engineering Volume 36, Issue 7
Show Author Affiliations
Yong Ho Moon, Pusan National Univ. (South Korea)
Kwang Ryul Baek, Pusan National Univ. (South Korea)
Yoon-Soo Kim, Samsung Electronics Co., Ltd. (South Korea)
Jae Ho Kim, Pusan National Univ. (South Korea)


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