Edge Artifact Reduction for Super-resolution Image Reconstruction
一种改善超分辨率图像重建中边缘质量的方法

Super-resolution image reconstruction refers to as restoring a high-resolution and high-quality image from multiple low-resolution observations degraded by warping, blurring, noise and aliasing. The projections onto convex sets (POCS) algorithm is widely used for super-resolution image reconstruction. In this paper, we propose an improved POCS algorithm that reduces the amount of edge artifacts present in the high-resolution reconstructed image. The blur point spread function (PSF) centered at an edge pixel is weighted by an exponential function, so that the coefficients of the modified PSF could decrease in the direction orthogonal to the edge. Experimental results show that the modification effectively reduces the visibility of the artifacts on the edges and obviously improves the quality of the reconstructed image.