Simultaneous image deblurring and inpainting via  convolutional sparse coding

Shengbiao Wang; Bolun Chen; Huasong Chen; Shixuan Gao; Junhao Wang; Qiansheng Feng; Tianlong Ma

doi:10.1117/12.2600449

9 October 2021 Simultaneous image deblurring and inpainting via convolutional sparse coding

Shengbiao Wang, Bolun Chen, Huasong Chen, Shixuan Gao, Junhao Wang, Qiansheng Feng, Tianlong Ma

Proceedings Volume 11897, Optoelectronic Imaging and Multimedia Technology VIII; 1189704 (2021) https://doi.org/10.1117/12.2600449
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Abstract

Image deblurring and inpainting are traditional image processing problems, and the effects achieved for high-resolution images are not satisfactory. In recent years, Convolutional Sparse coding (CSC) has been received more attention and introduced into image processing, such as blind deblurring. However, none of the works address the issue containing both blur and inpainting. In this work, we propose a novel framework of CSC for simultaneous image deblurring and inpainting. First, we learn a dictionary instead of applying a given dictionary for better image representation. Second, we use the learned dictionary with the ℓ¹ norm to regularize images. In addition, we apply a total anisotropic variation to enhance the edges of the image. Usually, we use the alternating direction method of multipliers (ADMM) formulation in the Fourier domain for the dictionary. We demonstrate the proposed training scheme for simultaneous image deblurring and inpainting, achieving state-of-the-art results.

Citation Download Citation

Shengbiao Wang, Bolun Chen, Huasong Chen, Shixuan Gao, Junhao Wang, Qiansheng Feng, and Tianlong Ma "Simultaneous image deblurring and inpainting via convolutional sparse coding", Proc. SPIE 11897, Optoelectronic Imaging and Multimedia Technology VIII, 1189704 (9 October 2021); https://doi.org/10.1117/12.2600449

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KEYWORDS

Associative arrays

Image compression

Image restoration

Image enhancement

Image processing

Cameras

Image analysis

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