{"title":"An Overview: Super-Image Resolution using Generative Adversarial Network for Image Enhancement","authors":"Ravindra Singh Kushwaha, Manik Rakhra, Dalwinder Singh, Ashutosh Kumar Singh","doi":"10.1109/IC3I56241.2022.10072862","DOIUrl":null,"url":null,"abstract":"Image processing plays a vital role during the analysis of the data, whenever the image is taken from the device it is not possible that the quality of the image is poor or found a lot of noise. This paper is working on the GAN’s subpart of SRGAN, which helps in processing of the image to get the HR of the image. By using the SRGAN, we just need to input the image’s low resolution, and after processing the data it will convert into a high-resolution image. Here we are reviewing all the related SRGAN papers.","PeriodicalId":274660,"journal":{"name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3I56241.2022.10072862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Image processing plays a vital role during the analysis of the data, whenever the image is taken from the device it is not possible that the quality of the image is poor or found a lot of noise. This paper is working on the GAN’s subpart of SRGAN, which helps in processing of the image to get the HR of the image. By using the SRGAN, we just need to input the image’s low resolution, and after processing the data it will convert into a high-resolution image. Here we are reviewing all the related SRGAN papers.
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