一种基于开关的自适应图像插值算法

Nimisha Agarwal, Ayush Kumar, Juhi Bhadviya, A. Tiwari
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引用次数: 3

摘要

本文提出了一种新的自适应图像插值算法,用于自然图像的增强。该方法采用SAI、SPIA和基于上下文的图像插值算法(CBIA)技术,对边缘和平滑类型的图像进行插值。对光滑型图像的细节部分采用SAI插值,对边缘型图像的细节部分采用SPIA插值。这两种图像的其余像素由CBIA插值。仿真结果表明,与近年来的一些文献相比,我们的自适应插值技术获得了更好的主客观(PSNR)质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A switching based adaptive image interpolation algorithm
In this paper, we propose a new adaptive image interpolation algorithm for enhancement of natural images. The proposed method uses different algorithms namely SAI, SPIA and Context-Based Image Interpolation Algorithm (CBIA) techniques, for both edgy and smooth type of images. The detailed part of smooth type image is interpolated by SAI, while we propose to use SPIA method for detailed part of edgy image. The rest of the pixels for either type of images are interpolated by CBIA. From the simulation results, we found that our adaptive interpolation technique results in better subjective and objective (PSNR) quality in comparision to some of the recent works in literature.
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