کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4962218 1446526 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance Assessment of TMOs
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Performance Assessment of TMOs
چکیده انگلیسی

High dynamic range (HDR) imaging has gained momentum with the growth in digital photography technology. In this paper, performance assessment of various tone mapping techniques has been presented. HDR images were used and Tone Mapping Operators (TMOs) such as Gamma Correction, Reinhard, Drago, Ashkmin were applied to generate Low Dynamic Range (LDR) images. After that, LDR images are rated using objective assessment parameters such as luminance, mean, MSE and mPSNR. A new modified Ashikmin TMO is reported in this work. The results have shown that modified Ashikhmin has generated better LDR image than other TMOs. In addition, the profiles of objective performance assessment were also included to compare the usability of TMOs for generating better LDR images.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 89, 2016, Pages 700-709
نویسندگان
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