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Analysis of False Color Visualization for HDR Image : Analysis of False Color Visualization for HDR Image
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HDR영상에서 가색상 시각화 알고리즘 분석

논문 기본 정보

Type
Academic journal
Author
Lee, Yong-Hwan (원광대학교 디지털콘텐츠공학과) Kim, Youngseop (단국대학교 전자전기공학과)
Journal
The Korean society of semiconductor and Display Technology 반도체디스플레이기술학회지 반도체디스플레이기술학회지 제16권 제3호
Published
2017.1
Pages
82 - 86 (5page)

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Analysis of False Color Visualization for HDR Image : Analysis of False Color Visualization for HDR Image
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High dynamic range (HDR) imaging offers a radically approach of representing colors in digital images. Instead of using the range of colors produced by given devices, HDR imaging method manipulates and stores all colors and brightness levels visible to the human eye. To faithfully represent, store and then reproduce all these effects, the original scene must be stored and treated using high fidelity HDR techniques. Then, tone mapping is required to accommodate HDR image to low dynamic range (LDR) devices, and tone mapping operation of HDR image for realistic display is commonly researched. However, color visualization for analyzing scene luminance in HDR imaging has less attention from researches. This paper presents and implements a method for reproduction and visualization of the false color in HDR images. We produce a color visualization framework with several mapping functions, and evaluate their effectiveness by using RMAE and SNR with commonly used HDR image data. Experiment reveals that the sigmodal mapping function shows better performance in the false color visualization, compared to other methods.
#HDR Imaging #Image representation #False color #Color visualization

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