2015/05/25 by Kollipara Rithwik, Rithwik, Kollipara, Kunal N. Chaudhury +1
Computer Science · Engineering · #Image and Signal Denoising Methods #Medical Image Segmentation Techniques #Advanced Image Fusion Techniques
paper · pdf · doi:10.48550/arxiv.1505.06578
The bilateral filter has diverse applications in image processing, computer\nvision, and computational photography. In particular, this non-linear filter is\nquite effective in denoising images corrupted with additive Gaussian noise. The\nfilter, however, is known to perform poorly at large noise levels. Several\nadaptations of the filter have been proposed in the literature to address this\nshortcoming, but often at an added computational cost. In this paper, we report\na simple yet effective modification that improves the denoising performance of\nthe bilateral filter at almost no additional cost. We provide visual and\nquantitative results on standard test images which show that this improvement\nis significant both visually and in terms of PSNR and SSIM (often as large as 5\ndB). We also demonstrate how the proposed filtering can be implemented at\nreduced complexity by adapting a recent idea for fast bilateral filtering.\n