Paper
16 August 2023 An inpainting method for paper-based photos
Wenxiang Guo, Weiqin Huang, Wenhui Cao, Qingyan Guo
Author Affiliations +
Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 1278723 (2023) https://doi.org/10.1117/12.3004625
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China
Abstract
To enhance the quality of paper-based photographic images, this paper proposes an image optimization method based on Criminisi and CLAHE techniques. To eliminate the impact of plastic film and other background factors on the restoration of paper-based photographs during contrast enhancement, geometric transformations such as cropping and flipping are first applied to the image. The preprocessed image is then subjected to channel separation, and the CLAHE method is used to enhance the contrast of the R, G, and B channels separately. After channel merging, an enhanced image is obtained. The Scharr operator is used to accurately obtain the boundary of the image to be restored, and the Criminisi algorithm is employed to implement inpainting of the selected area. The experiments show that the method proposed in this paper can achieve optimization of paper-based photographic images to a certain extent, and can be further applied to inpainting tasks for old photographs and early videos.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Wenxiang Guo, Weiqin Huang, Wenhui Cao, and Qingyan Guo "An inpainting method for paper-based photos", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 1278723 (16 August 2023); https://doi.org/10.1117/12.3004625
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Image contrast enhancement

Detection and tracking algorithms

Histograms

Image restoration

Light sources and illumination

Color

Back to Top