<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel is less effective for image blind deblurring. Inspired by the fact that a fractional order calculation can inhibit the noise and preserve the texture information of the image, a fractional order dark channel prior is proposed for image deblurring in this paper. It is appropriate for kernel estimation where input images and intermediate images are processed by using a fractional order dark channel prior. Furthermore, the non-convex problem is solved by the half-quadratic splitting method, and some metrics are used for deblurring image quality assessment. Finally, quantitative and qualitative experimental results show that the proposed method achieves state-of-the-art results on synthetic and real blurry images.</p>
</abstract>

The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel is less effective for image blind deblurring. Inspired by the fact that a fractional order calculation can inhibit the noise and preserve the texture information of the image, a fractional order dark channel prior is proposed for image deblurring in this paper. It is appropriate for kernel estimation where input images and intermediate images are processed by using a fractional order dark channel prior. Furthermore, the non-convex problem is solved by the half-quadratic splitting method, and some metrics are used for deblurring image quality assessment. Finally, quantitative and qualitative experimental results show that the proposed method achieves state-of-the-art results on synthetic and real blurry images.

A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior

Key Laboratory of Autonomous Systems and Networked Control

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the...

A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior

Publié en ligne: 08 oct. 2022

Pages: 441 - 454

Reçu: 03 oct. 2021

Accepté: 05 mars 2022

DOI: https://doi.org/10.34768/amcs-2022-0032

Mots clés
blind image deblurring, fractional order dark channel prior, non-convex problem

© 2022 Xiaoyuan Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior

Publié en ligne: 08 oct. 2022

Pages: 441 - 454

Reçu: 03 oct. 2021

Accepté: 05 mars 2022

DOI: https://doi.org/10.34768/amcs-2022-0032

Mots clésblind image deblurring, fractional order dark channel prior, non-convex problem

© 2022 Xiaoyuan Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
blind image deblurring, fractional order dark channel prior, non-convex problem