An improved method for image denoising based on fractional-order integration
| Autor: | Chen Qingli, Yi-Fei Pu, Hongyin Qin, Li Xu, Huang Guo, Men Tao |
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| Rok vydání: | 2020 |
| Předmět: |
Pixel
Computer Networks and Communications Computer science Noise (signal processing) Noise reduction Numerical analysis ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Image (mathematics) Operator (computer programming) Hardware and Architecture Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Algorithm Cauchy's integral formula |
| Zdroj: | Frontiers of Information Technology & Electronic Engineering. 21:1485-1493 |
| ISSN: | 2095-9230 2095-9184 |
| Popis: | Given that the existing image denoising methods damage the texture details of an image, a new method based on fractional integration is proposed. First, the fractional-order integral formula is deduced by generalizing the Cauchy integral, and then the approximate value of the fractional-order integral operator is estimated by a numerical method. Finally, a fractional-order integral mask operator of any order is constructed in eight pixel directions of the image. Simulation results show that the proposed image denoising 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 texture protection mechanism is adopted during the iterative processing. |
| Databáze: | OpenAIRE |
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