基于代数多重网格的图像清晰度方法研究

In order to change the reliance of Mean Square Error on reference images when evaluating image sharpness, the metric based on algebraic multigrid is proposed. The proposed metric first reconstructs image by Algebraic Multigrid (AMG), then compute the MSE between original image and reconstructed image, the result represents image sharpness. Results are provided to illustrate the performance of the proposed sharpness metric. These results show that the proposed sharpness metric has better practicability and monotonicity, correlates well with the perceived sharpness being able to predict with high accuracy in images with different content. Experimental results show the algorithm has superiority in image sharpness metric.