An image restoration by fusion

✍ Scribed by Tuan D. Pham

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 709 KB
• Volume: 34
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(00)00164-3

✦ Synopsis

To deal with the problem of restoring images degraded with Gaussian white noise, the mean and adaptive Wiener "lters are the most common methods to be implemented. Although these methods are both lowpass in character, they yield di!erent results on the same problem. The mean "lter reduces more noise than the adaptive Wiener but also blurs the image edges, whereas the adaptive Wiener "lter can preserve edge sharpness but reduces less noise than the mean "lter. Instead of trying to design a single mathematical technique to have the advantages of both methods, which is usually theoretically di$cult, we propose an alternative solution to this image restoration by fusing multiple image "lters using the mean, Sobel, and adaptive Wiener "lters. Performance of the fusion algorithm is based on both redundant and complementary information provided by di!erent "lters. Several experimental results show the e!ective application of the proposed approach.