人眼视觉感知模型指导的有理函数图像插值

doi:10.3969/j.issn.1001-2400.2016.01.027

Abstract

Abstract:

A new image interpolation algorithm based on the rational function model with both smoothing and surface constraints is proposed. The rational function has a simple and explicit expression with two parameters. The image edge regions can be detected adaptively by using contour analysis. Basically, the detective threshold is selected based on the rational function construction. Selecting different parameters in the rational function model, the edge regions and smooth regions are interpolated by bicubic interpolation and rational interpolation, respectively. The optimal rational interpolation parameters can be obtained with a set of exact solutions by solving a maximization problem based on the contrast sensitivity enhancement of human eyes. Experimental results demonstrate that the proposed method achieves competitive performance with the state-of-the-art interpolation algorithms, especially in image details features.

Key words: rational interpolation, image interpolation, human contrast sensitivity, contour analysis, adaptively optimize parameters

LIU Yifang;ZHANG Yunfeng;GUO Qiang;ZHANG Caiming. Rational function for image interpolation based on human contrast sensitivity[J].J4, 2016, 43(1): 151-156.

References

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Rational function for image interpolation based on human contrast sensitivity

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