An Improved Image Ringing Evaluation Method with Weighted Sum of Gray Extreme Value

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Yang, Ling^1 ; Meng, Yanhua^1 ; Wang, Bo^1 ; Bai, Xu^1

School of Harbin University of Science and Technology, Harbin, China^1

关键词: Blind image restoration;    Blind restoration;    Blur kernel estimations;    Evaluation results;    Physical mechanism;    Regional gradients;    Restoration algorithm;    Weighted statistics;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/7/072003/pdf
DOI  :  10.1088/1757-899X/322/7/072003

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Blind image restoration algorithm usually produces ringing more obvious at the edges. Ringing phenomenon is mainly affected by noise, species of restoration algorithm, and the impact of the blur kernel estimation during restoration. Based on the physical mechanism of ringing, a method of evaluating the ringing on blind restoration images is proposed. The method extracts the ringing image overshooting and ripple region to make the weighted statistics for the regional gradient value. According to the weights set by multiple experiments, the edge information is used to characterize the details of the edge to determine the weight, quantify the seriousness of the ring effect, and propose the evaluation method of the ringing caused by blind restoration. The experimental results show that the method can effectively evaluate the ring effect in the restoration images under different restoration algorithms and different restoration parameters. The evaluation results are consistent with the visual evaluation results.