Image Super-resolution Reconstruction Based on Interpolation and Shearlet Fusion
Ming Qiang Yin, Shui Jun, Jing Luan, Bai Rui-feng · Jisuanji gongcheng · 2015
【Abstract】 For a single image Super-resolution(SR) reconstruction problem,a novel image SR algorithm based on Softdecision 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 subband 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).