Correction of vignetting images based on Retinex-Net network model
Image Processing|更新时间:2024-07-26
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Correction of vignetting images based on Retinex-Net network model
“In the field of image processing, this study improves the Retinex Net network model to address the impact of vignetting on machine vision performance. By adding dilated convolutions and improving image denoising, the correction performance is effectively enhanced, providing a new solution for improving image quality.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 7, Pages: 929-938(2024)
作者机构:
1.长春理工大学 电子信息工程学院, 吉林 长春 130022
2.长春理工大学 空间光电技术国家地方联合工程研究中心, 吉林 长春 130022
作者简介:
基金信息:
National Natural Science Foundation of China(62127813);Key R&D Project of Jilin Provincial Department of Science and Technology(20230201071GX)
HUANG Dandan, WANG Fei, LIU Zhi, et al. Correction of vignetting images based on Retinex-Net network model[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 929-938.
DOI:
HUANG Dandan, WANG Fei, LIU Zhi, et al. Correction of vignetting images based on Retinex-Net network model[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 929-938. DOI: 10.37188/CJLCD.2023-0194.
Correction of vignetting images based on Retinex-Net network model