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Towards a novel image denoising method with edge-preserving sparse representation based on laplacian of B-spline edge-detection

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Abstract

To address the edge structure preservation problem in sparse representation image denoising, a Laplacian of B-spline (LOBS) edge detection operator was brought out, which solves the problem of singleness of existing edge-detection operators under noise environment and lack of robustness to noise to some extent. Based on LOBS operator, a novel sparse-based edge preservation image denoising method (ESRIDM) was proposed. It determines edge region by computing gradient with LOBS operator. The non-edge region was denoised normally, while noise in edge region can be filtered by setting appropriate threshold. Simulation experiment compared with Laplacian-of-Gaussian (LOG) operator and Canny operator shows that the LOBS edge-detection operator has better robustness and lost less edge. Denoising experiments on general images and video monitoring images show that this novel method can achieve better denoising effect in subjective vision.

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Acknowledgments

This work is supported by the project of Anhui Province Science Foundation of China with No. KJ2012A214 entitled “Dynamical behaviour and control of memristor-based chaotic and hyperchaotic systems”, the project of Anhui Province Science Foundation of China with No. 2015KJ012 entitled “Inpainting system model of thangka damaged region”, the project of Anhui Province Science Foundation of China with No.2015FSKJ08 entitled “Thangka semantic annotation based on interesting region”, the project of Anhui Province Science Foundation of China with No. 2013WLGH01ZD entitled “Construction of regional logistics information platform based on cloud computing”, and the project of Anhui Province Science Foundation of China with No. KJ2013B192 entitled “Finger vein image quality evaluation and its application”.

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Authors and Affiliations

  1. School of Computer and Information Engineering, Fuyang Teachers University, Fuyang, Anhui, 236037, China

    Dongqing Xu, Xiuyou Wang, Gang Sun & Huaimin Li

  2. School of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Wulumuqi, Xinjiang, 830000, China

    Dongqing Xu

  3. School of Computer Science and Technology, Anhui University, Hefei, Anhui, 561099, China

    Xiuyou Wang

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  1. Dongqing Xu
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Correspondence to Dongqing Xu.

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Xu, D., Wang, X., Sun, G. et al. Towards a novel image denoising method with edge-preserving sparse representation based on laplacian of B-spline edge-detection. Multimed Tools Appl 76, 17839–17854 (2017). https://doi.org/10.1007/s11042-015-3097-0

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