{"title":"直方图自适应图像分割对比度增强","authors":"S. Rubin, R. Kountchev, V. Todorov, R. Kountcheva","doi":"10.1109/IRI.2006.252482","DOIUrl":null,"url":null,"abstract":"In the paper is presented a specific approach aimed at the improvement of the visual quality of underexposed or low-contrast images. For this is developed a new contrast-enhancement algorithm based on the segmentation of the image area with relatively high density of dark elements. The problem is solved changing the brightness intervals of the selected segments followed by equalization (in particular - linear stretch and skew) of the corresponding parts of the histogram. The method implementation is relatively simple and permits easy adaptation of the contrasting algorithm in accordance with the image contents, requiring the setting of small number of parameters only. The obtained results prove the efficiency of the new method on the processed image quality","PeriodicalId":402255,"journal":{"name":"2006 IEEE International Conference on Information Reuse & Integration","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Contrast Enhancement with Histogram-Adaptive Image Segmentation\",\"authors\":\"S. Rubin, R. Kountchev, V. Todorov, R. Kountcheva\",\"doi\":\"10.1109/IRI.2006.252482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper is presented a specific approach aimed at the improvement of the visual quality of underexposed or low-contrast images. For this is developed a new contrast-enhancement algorithm based on the segmentation of the image area with relatively high density of dark elements. The problem is solved changing the brightness intervals of the selected segments followed by equalization (in particular - linear stretch and skew) of the corresponding parts of the histogram. The method implementation is relatively simple and permits easy adaptation of the contrasting algorithm in accordance with the image contents, requiring the setting of small number of parameters only. The obtained results prove the efficiency of the new method on the processed image quality\",\"PeriodicalId\":402255,\"journal\":{\"name\":\"2006 IEEE International Conference on Information Reuse & Integration\",\"volume\":\"156 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Information Reuse & Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRI.2006.252482\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Information Reuse & Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2006.252482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contrast Enhancement with Histogram-Adaptive Image Segmentation
In the paper is presented a specific approach aimed at the improvement of the visual quality of underexposed or low-contrast images. For this is developed a new contrast-enhancement algorithm based on the segmentation of the image area with relatively high density of dark elements. The problem is solved changing the brightness intervals of the selected segments followed by equalization (in particular - linear stretch and skew) of the corresponding parts of the histogram. The method implementation is relatively simple and permits easy adaptation of the contrasting algorithm in accordance with the image contents, requiring the setting of small number of parameters only. The obtained results prove the efficiency of the new method on the processed image quality