{"title":"图像中较暗部分增强的非参数方法","authors":"Sachin Gavhane, Amruta Pokhare, S. Shitole","doi":"10.1109/ICCDW45521.2020.9318718","DOIUrl":null,"url":null,"abstract":"Images caught in darker area builds complexities in handling and removing essential data. Improvement of such pictures encourages us to recover significant information. ANN based error back propagation (BP) algorithm is used for enhancing shadow region of an image. Dataset used in this paper is a shadow image with its enhanced output (log transformed), so that model will be able to learn to enhance the shadow region of any given image. Darker locale in an image are successfully reduced in the results obtained. Still there is a scope of improvement through adjustments and variations into various parameters of proposed non-parametric approach.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-Parametric Method for Enhancement of Darker Portion in an Image\",\"authors\":\"Sachin Gavhane, Amruta Pokhare, S. Shitole\",\"doi\":\"10.1109/ICCDW45521.2020.9318718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Images caught in darker area builds complexities in handling and removing essential data. Improvement of such pictures encourages us to recover significant information. ANN based error back propagation (BP) algorithm is used for enhancing shadow region of an image. Dataset used in this paper is a shadow image with its enhanced output (log transformed), so that model will be able to learn to enhance the shadow region of any given image. Darker locale in an image are successfully reduced in the results obtained. Still there is a scope of improvement through adjustments and variations into various parameters of proposed non-parametric approach.\",\"PeriodicalId\":282429,\"journal\":{\"name\":\"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCDW45521.2020.9318718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCDW45521.2020.9318718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-Parametric Method for Enhancement of Darker Portion in an Image
Images caught in darker area builds complexities in handling and removing essential data. Improvement of such pictures encourages us to recover significant information. ANN based error back propagation (BP) algorithm is used for enhancing shadow region of an image. Dataset used in this paper is a shadow image with its enhanced output (log transformed), so that model will be able to learn to enhance the shadow region of any given image. Darker locale in an image are successfully reduced in the results obtained. Still there is a scope of improvement through adjustments and variations into various parameters of proposed non-parametric approach.