Image restoration using mean, median and adaptive filter

Adeline Chua, Jia Min (2014) Image restoration using mean, median and adaptive filter. Project Report. UTeM. (Submitted)

Text IMAGE RESTORATION USING MEAN, MEDIAN AND ADAPTIVE FILTER.pdf Download (237kB)

Abstract

Image Restoration is one of the many fields in Image Processing. The main purpose of Image Restoration is to recover an original image from a degraded image using the mathematical restoration and degradation model. Image Restoration techniques are divided into two domains namely the spatial domain and the frequency Domain. This project studies on the analysis of the Image Restoration using techniques of Mean, Median and Adaptive Filter under the spatial domain. Three different noises including Salt and Pepper noise, Gaussian noise, and Speckle noise are considered in this project to analyse the best noise that each of the proposed techniques are able to remove. The analysis is done by using the image qualities metrics such as MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio).

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