針對雙攝製高動態範圍成像之色彩維真及效能增強

為了滿足現今多媒體應用日益苛刻且多元的要求，我們提出了一個高性能的高動態範圍（High Dynamic Range）影像系統，我們的系統現場拍攝兩張不同的曝光時間的來源圖像。我們首先研究並針對本系統限制來源影像數量所產生的影像不自然問題提出解決的辦法，並探討了演算法設計來顯著的加快高動態範圍影像合成的運算，同時保持合成結果的圖像品質。最後，我們提出了基於賽靈思(Xilinx) ZYNQ平台上的硬體系統。實驗結果表明，該系統能夠提供每秒60幀數的全高清高動態範圍影像合成。

關鍵字

曝光適應的來源強化；色調映射；色調連續性；曝光適應的虛擬影像；立體圖像處理；高動態範圍生成；高動態範圍； ROI圖像對齊

並列摘要

To meet the ever-demanding requirements of multimedia applications, we propose a high-performance High Dynamic Range (HDR) imaging system that takes only two images of the scene with different exposure time. We first investigate and propose solutions to the artifact problems specific to limited source set, and explore the algorithmic designs that significantly speed up the HDR computation while preserving the synthesis quality. Finally, we present a hardware system based on the Xilinx ZYNQ platform. Experimental results show that the proposed system is able to deliver 60 fps Full-HD HDR video synthesis.

並列關鍵字

Stereo image processing ； Exposure-Adaptive Virtual Frame ； Color-Continuity ； Tone Mapping ； Exposure-Adaptive Source Enhancement ； HDR Synthesis ； ROI image alignment ； High Dynamic Range

參考文獻

[1]P. E. Debevec and J. Malik, “Recovering High Dynamic Range Radiance Maps from Photographs,” in Proc. SIGGRAPH, 1997, pp. 369-378.

[3]M. A. Robertson, S. Borman, and R. L. Stevenson, “Estimation-theoretic approach to dynamic range enhancement using multiple exposures,” Journal of Electronic Imaging, vol. 12, no. 2, pp. 219–228, 2003.

[4]S. B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski, “High dynamic range video,” ACM Transactions on Graphics (TOG), vol. 22, pp. 319–325, July 2003.

[9]S. Cho, H. S. Hong, and Y. Choi, “Alternating Line High Dynamic Range Imaging,” in Proc. DSP, pp. 1-6, 20111.

[12]S. W. Hasinoff, F. Durand, and W. T. Freeman. 2010. “Noise-optimal capture for high dynamic range photography.” In Proceedings of CVPR 2010.

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針對雙攝製高動態範圍成像之色彩維真及效能增強

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