Work

Image deblurring algorithm based on energy distribution model

Year: 2025

Type: article

Abstract: Deblurring algorithms are key technologies for improving image quality. This paper establishes a photosite energy distribution model based on the cause of blur in imaging systems, divides the model into several parts according to regions, calculates the energy proportions of these parts, and designs corresponding deblurring algorithms. We performed experiments on both synthetic and real images, and the results show that the proposed deblurring algorithms effectively reduce the edge transition region, enhance the contrast of image edges, and significantly improve image quality.

Source: Optics Express

DOI: 10.1364/oe.575110

Authors: Mengjie Zeng, Junjie Lai, Hongliang Ren, Chenxi Wang, Jiawei Yang, Zhichao He

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funder: Xiamen Municipal Bureau of Science and Technology

Award: G6041589625