Removing Impulse Noise and Gaussian Noise from Images using Recursive Fuzzy Weighted Median Filter

In digital image processing noise removal or noise filtering is an important criteria. During analog to digital conversion,, compressing of images , transmission of signal, pre-processing images usually affect with impulse noise (spike noise or salt and pepper noise[1]. Linear noise filtering technique does not work well when the noise is non-adaptive in nature. The novel approach proposed in this paper is an adaptive digital signal processing technique that can efficiently remove impulse noise from color image. It is a histogram based adaptive threshold algorithm where a pixel is replaced only if it is identified to be noisy pixel otherwise the original pixel is retained this technique been implemented using noise-exclusive fuzzy switching median filter (RFSMF) algorithm. The proposed technique is a better filtering method when compared to conventional median filters and its modified filters in present era[1]. It is proved that the proposed algorithm is moderately suitable for high noise environment