An improved method for image denoising based on fractional-order integration

2020, Volume 21, Issue 10

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Frontiers of Information Technology & Electronic Engineering >> 2020, Volume 21, Issue 10 doi: 10.1631/FITEE.1900727

Affiliation(s): College of Electronics and Materials Engineering, Leshan Normal University, Leshan 614000, China; College of Computer Science, Sichuan University, Chengdu 610064, China; Key Lab of Internet Natural Language Processing of Sichuan Provincial Education Department, Leshan Normal University, Leshan 614000, China; less

Received: 2019-12-24 Accepted: 2020-10-14 Available online: 2020-10-14

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Abstract

Given that the existing methods damage the texture details of an image, a new method based on fractional integration is proposed. First, the formula is deduced by generalizing the , and then the approximate value of the operator is estimated by a numerical method. Finally, a mask operator of any order is constructed in eight pixel directions of the image. Simulation results show that the proposed method can protect the edge texture information of the image while removing the noise. Moreover, this method can obtain higher image feature values and better image vision after denoising than the existing denoising methods, because a mechanism is adopted during the iterative processing.

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