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Image diffusion filtering algorithm combined with variable exponent and convective constraint

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Abstract

A diffusion function based on mixed gradient and variable exponent is built by combining image characteristics in wavelet transform and spatial domains to solve the edge blurring problem of the traditional anisotropic diffusion model in image filtering and improve image filtering performance. A convective term is introduced as a constraint in the image diffusion model to control the strength of image diffusion, and an image adaptive diffusion filtering algorithm is developed. Experimental simulation using test images as research objects is performed to verify the effectiveness of the proposed algorithm. Results show that the proposed algorithm effectively inhibits the edge blurring effect during image diffusion and improves the visual quality of the filtered image.

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Acknowledgements

This work was supported by the Science and Technology Foundation of Jiangxi Provincial Education Department (No. GJJ170922) and the National Natural Science Foundation of China under No. 11461057.

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Authors and Affiliations

  1. School of Mathematics and Computer Sciences, Shangrao Normal University, Shangrao, 334001, China

    Jinhua Liu & Yongming Li

  2. School of Physics and Electronic Information, Shangrao Normal University, Shangrao, 334001, China

    Qiu Tu

  3. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Kun She

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  1. Jinhua Liu
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  2. Kun She
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Correspondence to Jinhua Liu.

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Liu, J., She, K., Li, Y. et al. Image diffusion filtering algorithm combined with variable exponent and convective constraint. SIViP 13, 87–94 (2019). https://doi.org/10.1007/s11760-018-1331-8

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  • DOI: https://doi.org/10.1007/s11760-018-1331-8

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