Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation
arXiv:1412.0801 · doi:10.14445/22312803/IJCTT-V17P123
Abstract
Noise removal from images is a part of image restoration in which we try to reconstruct or recover an image that has been degraded by using apriori knowledge of the degradation phenomenon. Noises present in images can be of various types with their characteristic Probability Distribution Functions (PDF). Noise removal techniques depend on the kind of noise present in the image rather than on the image itself. This paper explores the effects of applying noise reduction filters having similar properties on noisy images with emphasis on Signal-to-Noise-Ratio (SNR) value estimation for comparing the results.
4 pages,Published with International Journal of Computer Trends and Technology (IJCTT), volume 17 number 3, Nov 2014