计算机工程Issue(5)：274-279,6.DOI:10.3969/j.issn.1000-3428.2015.05.051
基于插值与剪切波融合的图像超分辨率重建
Image Super-resolution Reconstruction Based on Interpolation and Shearlet Fusion
摘要
Abstract
For a single image Super-resolution( SR) reconstruction problem,a novel image SR algorithm based on Soft-decision Adaptive Interpolation ( SAI )-Bicubic interpolation and Shift-invariant Shearlet Transform ( SIST ) fusion is proposed. For each source image is separately interpolated by SAI and Bicubic interpolation,and the SIST is adopted to decompose the two interpolated images in different scales and directions,and the low-frequency and high-frequency sub-band coefficients of the two images are obtained. For the low frequency sub-band coefficients,according to the regional variance to determine the fuzzy similarity,a adaptive weighted fusion rule combined with improved sigmoid function is presented. For the high frequency sub-band coefficients,it uses a new Sum-modified Laplacian( SML) and is combined with the weighted average fusion rule. The high resolution image is obtained by performing the inverse SIST on the combined coefficients. Compared with the SAI,the imposed algorithm has very good effect on improving the clarity of the reconstructed image and Peak Signal to Noise Ratio( PSNR) .关键词
超分辨率重建/软判决自适应插值/图像融合/平移不变性剪切波变换/S函数/改进拉普拉斯能量和Key words
Super-resolution (SR) reconstruction/Soft-decision Adaptive Interpolation (SAI)/image fusion/Shift-invariant Shearlet Transform(SIST)/S function/Sum-modified Laplacian(SML)分类
信息技术与安全科学引用本文复制引用
殷明,水珺,栾静,白瑞峰..基于插值与剪切波融合的图像超分辨率重建[J].计算机工程,2015,(5):274-279,6.基金项目
国家自然科学基金资助项目(11172086) （11172086）
安徽省自然科学基金资助项目(1308085MA09) （1308085MA09）
安徽省教育厅自然科学研究基金资助重点项目(KJ2013A216)。 （KJ2013A216）
