HDR영상에서 가색상 시각화 알고리즘 분석

Analysis of False Color Visualization for HDR Image

  • 이용환 (원광대학교 디지털콘텐츠공학과) ;
  • 김영섭 (단국대학교 전자전기공학과)
  • Lee, Yong-Hwan (Department of Digital Contents, Wonkwang University) ;
  • Kim, Youngseop (Department of Electronic and Electronical Engineering, Dankook University)
  • 투고 : 2017.09.12
  • 심사 : 2017.09.22
  • 발행 : 2017.09.30

초록

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.

키워드

과제정보

연구 과제 주관 기관 : 한국연구재단

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