{"title":"A Distorted Light Field Image Correction Method Based on Improved\nHough Transform","authors":"Ruihua Zhang, Shubo Bi","doi":"10.2174/0126662558270259231122040821","DOIUrl":null,"url":null,"abstract":"\n\nIn using a camera to take photos, due to environmental limitations,\nuneven lighting can cause uneven distribution of the image light field, resulting in distortion of\nthe image background and target, blurring of details, and distorted light field images.\n\n\n\nIn view of this, research is conducted on the correction of distorted light field images\nbased on the Hough transform. First, the improved Hough transform is utilized to locate the\nfour coordinates, the matrix information of the normal image is applied to calculate the corresponding parameter amount, and then the low-frequency part of the image spectrum is removed. Finally, it uses the Gaussian function for difference, inputs the original data, and gets\nthe correction result of the distorted light field image.\n\n\n\nThe research results indicate that in the practical application of the distorted light field\nimage correction algorithm based on the Hough transform, the improved Hough transform algorithm is superior to the traditional one.\n\n\n\nIn comparative experiments, the research algorithm outperforms the other three\nalgorithms, with an average color restoration of 93.76% and an average signal-to-noise ratio of\n54.22dB. The superiority of the research algorithm has been verified, indicating that the research method can perfectly correct distorted light field images and achieve good correction\nresults.\n","PeriodicalId":36514,"journal":{"name":"Recent Advances in Computer Science and Communications","volume":"13 23","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Computer Science and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0126662558270259231122040821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
In using a camera to take photos, due to environmental limitations,
uneven lighting can cause uneven distribution of the image light field, resulting in distortion of
the image background and target, blurring of details, and distorted light field images.
In view of this, research is conducted on the correction of distorted light field images
based on the Hough transform. First, the improved Hough transform is utilized to locate the
four coordinates, the matrix information of the normal image is applied to calculate the corresponding parameter amount, and then the low-frequency part of the image spectrum is removed. Finally, it uses the Gaussian function for difference, inputs the original data, and gets
the correction result of the distorted light field image.
The research results indicate that in the practical application of the distorted light field
image correction algorithm based on the Hough transform, the improved Hough transform algorithm is superior to the traditional one.
In comparative experiments, the research algorithm outperforms the other three
algorithms, with an average color restoration of 93.76% and an average signal-to-noise ratio of
54.22dB. The superiority of the research algorithm has been verified, indicating that the research method can perfectly correct distorted light field images and achieve good correction
results.