Characterization of Noise removal based on Hypergraph model of Images
نویسنده
چکیده
The quality of the image plays a vital role in image processing technique. It can be determined by the removal of the noisy pixels in the images. In this paper, we designed the hypergraph model for the representation of images. We use noise removal algorithm for digital images.This algorithm is based on the hypergraph model of images. This is used to detect the noisy pixels and thus can be removed by using Root Mean Square (RMS) approximation. The identified noisy pixels are denoised and improved the quality of images. The PSNR and MAE are used to measure the performance of the model.Then this system is used to compare the different noisy images and also we characterize the hypergraph parameters. Keywords—Hypergraph, Image Neighborhood Hypergraph, Impulse noise, Intesity level, Neighborhood relation, Root Mean Square.
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