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Title: Image interpolation based on median-type filters
Authors: Zeng, Bing
Venetsanopoulos, Anastasios N.
Keywords: Image decimation and interpolation
Median-type filters
Neural networks
Interpolative Joint Photographic Experts Group coding
Issue Date: Sep-1998
Citation: Optical engineering, v. 37, no. 9, September 1998, p. 2472-2482
Abstract: Image interpolation based on median-type filters is investigated. We study this problem for two decimation schemes that are most commonly used in practice: (1) quincunx lattice and (2) rectangular lattice. For each decimation lattice, we propose a number of interpolation structures that are based on some median or finite impulse response (FIR)-median hybrid filters. Extensive simulations show that the proposed median-based interpolators outperform significantly as compared with linear schemes. To further verify the effectiveness of these median-based interpolators, we compare them with multilayer neural networks designed through a training process, and still show a preference for the median-based interpolators. As an application, they are used in an interpolative Joint Photographic Experts Group (JPEG) coding scheme to suppress blocking artifacts at very low bit rates.
Rights: Copyright 1998 Society of Photo-Optical Instrumentation Engineers. This paper was published in Optical engineering, Optical engineering, v. 37, no. 9, September 1998, p. 2472-2482 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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