Abstract
Aiming at the deficiency of losing texture information in image filtering process, an image filtering algorithm based on uncorrelated dictionary learning is proposed. Firstly, the noisy image is divided into overlapping image blocks, and the image blocks are randomly extracted. The uncorrelated redundant dictionary is obtained by using uncorrelated dictionary learning technology. Finally, the sparse representation coefficients of each image block under the redundant dictionary are obtained by sparse coding algorithm, and the original image is restored by using the sparse representation coefficients. The experimental results show that the irrelevant redundant dictionary has a strong ability to express the texture information of the image. It can keep the details and texture information of the image better and improve the visual effect.
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