Paper
16 February 2022 Blind restoration of vertical motion blurred image based on point spread function estimation
Author Affiliations +
Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 1208314 (2022) https://doi.org/10.1117/12.2623431
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China
Abstract
Blind image restoration has always been a hot and difficult problem in the field of image processing. As the vertical motion blur image has obvious characteristics in the frequency domain, the distance between the center point and the nearest horizontal black strip is automatically estimated by setting thresholds, and the estimated vertical motion point spread function is obtained; the image is blindly restored by the constrained least squares algorithm. Experimental results show that the proposed vertical motion point spread function estimation algorithm has high accuracy, and the restored image has better visual effects and higher PSNR.
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Fengqing Qin, Yuxin Xie, Li Jiang, Xingdong Wen, Chaorong Li, Jiao Zeng, and Lilan Cao "Blind restoration of vertical motion blurred image based on point spread function estimation", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 1208314 (16 February 2022); https://doi.org/10.1117/12.2623431
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KEYWORDS
Image restoration

Point spread functions

Motion estimation

Image quality

Image processing

Fourier transforms

Motion models

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