International Journal of Computer Science Issues

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In this paper image denoising method based on fuzzy triangular membership function. For a given corrupted image, at first I converted to the fuzzy values using the fuzzification method. Then, I extract all patches with overlaps, after extracting all patches each patch is to be permuted and apply the fuzzy triangular membership function. I extract all patches with overlaps, refer to these as coordinates in high-dimensional space, and arrange them such that they are chained in the “shortest possible path,” basically solving the traveling salesman problem. The obtained ordering I am applying the fuzzy defuzzification method to convert fuzzy value to the crisp values, to what should be a regular signal. This enables us to get good recovery of the clean image by applying comparatively simple one-dimensional smoothing operations (such as filtering or interpolation) to the reordered set of pixels. The performance of this approach is experimentally verified on a variety of images and noise levels. The results presented here demonstrate that proposed method is on par or exceeding the current state of the art, both visually and quantitatively.