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Color Signal Estimation in High Dynamic Range Scenes

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This paper describes a method to estimate color signals in high dynamic range (HDR) scenes. Color signals of incident light into an imaging system consist of the direct spectra of light sources and the indirect spectra of the reflected lights from different object surfaces in a scene. In our study, Wiener estimation method is adopted for reconstructing color signals. The Wiener estimator requires prior statistical information such as the correlation matrix of spectral dataset and the covariance matrix of imaging noise. In Wiener estimation, the fixed matrices of imaging noise and spectral dataset are generally applied to all pixels in an image. However, the imaging noise and spectral dataset are dramatically changed in HDR scenes. Therefore, it is required to determine the suitable estimation matrix for HDR scenes. In this paper, we propose a method for determining suitable noise level and spectral dataset which are applied to Wiener estimation in HDR scenes. For validating our method, experiments using actual HDR scenes are conducted. Experimental results show the proposed method is efficient compared with the conventional Wiener estimation method, and can reconstruct accurate color signal scale in HDR scenes.

Document Type: Research Article

Publication date: January 1, 2011

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, and a vibrant interactive papers session. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper presentation.

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