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Adaptive Linear Interpolation Using the New Distance Weight and Local Patterns  

Kim, Tae-Yang (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리연구실)
Jeon, Yeong-Gyun (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리연구실)
Jeong, Je-Chang (한양대학교 전자통신컴퓨터공학과 영상통신 및 신호처리연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.31, no.12C, 2006 , pp. 1184-1193 More about this Journal
Abstract
Image interpolation has been widely used and studied in the various fields of image processing. There are many approaches of varying complexity and robustness. In this paper, a new distance weight is proposed for the conventional linear interpolation. In comparison with the conventional linear weight, the new distance weight uses a quadratic or cubic polynomial equation to reflect that the interpolated value should be influenced more by the value of closer pixels in an input image. In this paper, the new adaptive linear (NAL) interpolation, which considers patterns near the interpolated value, is also proposed. This algorithm requires a pattern weight, which is used to determine the ratio of reflection on local patterns, to obtain an interpolated image that exhibits better quality at various magnification factors (MF). In the computer simulation, not only did the NAL interpolation exhibit much lower computational complexity than conventional bicubic interpolation, it also improved peak signal-to-noise ratios (PSNR).
Keywords
Distance Weight; Linear Interpolation; Pattern Weight;
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