{"title":"使用模式分离直方图均衡化的对比度增强","authors":"Sadia Khan Rupa, Md. Faishal Yousuf, Shanto Rahman","doi":"10.1109/ICASERT.2019.8934613","DOIUrl":null,"url":null,"abstract":"Due to the inferior quality of image capturing devices and acute environmental condition, digital images may suffer from poor contrast. Several histogram equalizing methods have been proposed to enhance these images but most of them either create over enhancement with artifacts or cannot fulfill consumers’ desired contrast. However, due to having improper handling of the pixels, histogram equalization (HE) based techniques often fail. Hence, a new image enhancement approach has been introduced here named as Mode-Separate Histogram Equalization (MSHE) which finds a separation point using most frequent intensity of an image and afterwards HE is applied. In experiments qualitative and quantitative assessments exhibits that the performance of MSHE is better than other contrast enhancement with brightness preservation techniques.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"11 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contrast Enhancement using Mode-Separate Histogram Equalization\",\"authors\":\"Sadia Khan Rupa, Md. Faishal Yousuf, Shanto Rahman\",\"doi\":\"10.1109/ICASERT.2019.8934613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the inferior quality of image capturing devices and acute environmental condition, digital images may suffer from poor contrast. Several histogram equalizing methods have been proposed to enhance these images but most of them either create over enhancement with artifacts or cannot fulfill consumers’ desired contrast. However, due to having improper handling of the pixels, histogram equalization (HE) based techniques often fail. Hence, a new image enhancement approach has been introduced here named as Mode-Separate Histogram Equalization (MSHE) which finds a separation point using most frequent intensity of an image and afterwards HE is applied. In experiments qualitative and quantitative assessments exhibits that the performance of MSHE is better than other contrast enhancement with brightness preservation techniques.\",\"PeriodicalId\":6613,\"journal\":{\"name\":\"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)\",\"volume\":\"11 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASERT.2019.8934613\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASERT.2019.8934613","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contrast Enhancement using Mode-Separate Histogram Equalization
Due to the inferior quality of image capturing devices and acute environmental condition, digital images may suffer from poor contrast. Several histogram equalizing methods have been proposed to enhance these images but most of them either create over enhancement with artifacts or cannot fulfill consumers’ desired contrast. However, due to having improper handling of the pixels, histogram equalization (HE) based techniques often fail. Hence, a new image enhancement approach has been introduced here named as Mode-Separate Histogram Equalization (MSHE) which finds a separation point using most frequent intensity of an image and afterwards HE is applied. In experiments qualitative and quantitative assessments exhibits that the performance of MSHE is better than other contrast enhancement with brightness preservation techniques.