Distorted Image Reconstruction Method with Trimmed Median

Abstract

The distorted image reconstruction is an interesting problem that has many applications in practice. The distorted images are usually corrupted by scratches, dust, noise, human actions and/or environment factors. In this paper, we propose a distorted image reconstruction method based on the trimmed median. This method is effective for images corrupted by scratches caused by human, environment etc. In the experiment, we generate masks to simulate the scratches and apply them over the reference original images to make the distorted images. This way is necessary to assess the image quality after recovering by the peak signal-to-noise ratio and the structure similarity metrics. We also compare the proposed method with the harmonic method.