A. Konieczka, J. Balcerek, Agata Chmielewska, A. Dabrowski
{"title":"局部对比度增强方法","authors":"A. Konieczka, J. Balcerek, Agata Chmielewska, A. Dabrowski","doi":"10.1109/SPA.2015.7365106","DOIUrl":null,"url":null,"abstract":"In this article a simple and fully automatic approach to local contrast enhancement is presented, maintaining reasonable computational complexity and feasibility of simultaneous calculations on multiple processors. The authors propose an algorithm, which allows to obtain images with artificially increased dynamic range. The resulting images do not contain unnatural artifacts and are close to images perceived by humans. Results of experiments show that the described method offers very good results even for images obtained with a large range of differences in the exposures.","PeriodicalId":423880,"journal":{"name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Approach to local contrast enhancement\",\"authors\":\"A. Konieczka, J. Balcerek, Agata Chmielewska, A. Dabrowski\",\"doi\":\"10.1109/SPA.2015.7365106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article a simple and fully automatic approach to local contrast enhancement is presented, maintaining reasonable computational complexity and feasibility of simultaneous calculations on multiple processors. The authors propose an algorithm, which allows to obtain images with artificially increased dynamic range. The resulting images do not contain unnatural artifacts and are close to images perceived by humans. Results of experiments show that the described method offers very good results even for images obtained with a large range of differences in the exposures.\",\"PeriodicalId\":423880,\"journal\":{\"name\":\"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPA.2015.7365106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPA.2015.7365106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this article a simple and fully automatic approach to local contrast enhancement is presented, maintaining reasonable computational complexity and feasibility of simultaneous calculations on multiple processors. The authors propose an algorithm, which allows to obtain images with artificially increased dynamic range. The resulting images do not contain unnatural artifacts and are close to images perceived by humans. Results of experiments show that the described method offers very good results even for images obtained with a large range of differences in the exposures.
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