Pan-sharpening with structural consistency and ℓ1/2 gradient prior. Issue 12 (1st December 2016) - Zeng, Delu
ABSTRACT: In this letter, a variational method is proposed for panchromatic (Pan)-sharpening by fusing a low-resolution multispectral image with a high-resolution Pan image to generate a high-resolution multispectral image. Most methods focus on spatial intensity preservation while the proposed method tends to preserve the consistency of the spatial structure information. In addition, an metric is used to estimate gradient prior. The alternating direction method of multipliers and the difference of convex algorithm are used to guarantee the convergence of the algorithm. A large number of experiments show that the proposed method has obvious advantages compared with other advanced methods both subjectively and objectively.