{"title":"基于多尺度分解的低分辨率彩色图像恢复","authors":"A. B, H. S G, Manimegalai L, Naveenkumar M","doi":"10.1109/ICETET-SIP-2254415.2022.9791619","DOIUrl":null,"url":null,"abstract":"A successful method for improving the clarity of dim light image that has been compromised by unbalanced lightning is to evaluate and compress the lightning portion. Due to inaccurate calculation, some previous approaches like edges are affected in improved image. The weighted least square multi scale image decomposition model's goal is to separate the light layer as effectively as possible. Later enhancement effect is obtained by adjusting the illumination layer. The proposed decomposition model is used to the value channel in HSV space in order to avoid colour artefacts caused by illumination adjustments and reduce computing complexity. Experiments reveal that the advance approach works well with a outspread range of dim images.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Color Image Restoration from Low Resolution Based on Multiscale Decomposition\",\"authors\":\"A. B, H. S G, Manimegalai L, Naveenkumar M\",\"doi\":\"10.1109/ICETET-SIP-2254415.2022.9791619\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A successful method for improving the clarity of dim light image that has been compromised by unbalanced lightning is to evaluate and compress the lightning portion. Due to inaccurate calculation, some previous approaches like edges are affected in improved image. The weighted least square multi scale image decomposition model's goal is to separate the light layer as effectively as possible. Later enhancement effect is obtained by adjusting the illumination layer. The proposed decomposition model is used to the value channel in HSV space in order to avoid colour artefacts caused by illumination adjustments and reduce computing complexity. Experiments reveal that the advance approach works well with a outspread range of dim images.\",\"PeriodicalId\":117229,\"journal\":{\"name\":\"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791619\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791619","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color Image Restoration from Low Resolution Based on Multiscale Decomposition
A successful method for improving the clarity of dim light image that has been compromised by unbalanced lightning is to evaluate and compress the lightning portion. Due to inaccurate calculation, some previous approaches like edges are affected in improved image. The weighted least square multi scale image decomposition model's goal is to separate the light layer as effectively as possible. Later enhancement effect is obtained by adjusting the illumination layer. The proposed decomposition model is used to the value channel in HSV space in order to avoid colour artefacts caused by illumination adjustments and reduce computing complexity. Experiments reveal that the advance approach works well with a outspread range of dim images.