Salt-and-Pepper Noise Removal Based on Sparse Signal Processing
Abbas Kazerooni,
Azarang Golmohammadi,
Farokh Marvasti
Abstract:In this paper, we propose a new method for Salt-and-Pepper noise removal from images. Whereas most of the existing methods are based on Ordered Statistics filters, our method is based on the growing theory of Sparse Signal Processing. In other words, we convert the problem of denoising into a sparse signal reconstruction problem which can be dealt with the corresponding techniques. As a result, the output image of our method is preserved from the undesirable opacity which is a disadvantage of most of the other… Show more
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