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標題: A novel progressive refinement algorithm for full spectral rendering
作者: Chern, J.R.
Wang, C.M.
關鍵字: spectral rendering;progressive rendering;wavelet;Haar;realistic image synthesis;wavelength selection;perceptual control
Project: Real-Time Imaging
期刊/報告no:: Real-Time Imaging, Volume 11, Issue 2, Page(s) 117-127.
This paper presents a new progressive refinement algorithm for full spectral rendering. This algorithm adopts wavelet transformation to efficient represent full spectral data. To our knowledge, this is the first approach to employing such a transformation for progressive, full spectral rendering, where the radiance calculation through multiplications of two spectral functions is computed under a wavelet basis. We implemented the proposed technique for Monte Carlo direct lighting, and divide the rendering process into 9 stages (i = 1-9), each of which employs the first leading 2(i) coefficients to produce progressive results. In the fourth progressive stage, our algorithm renders a spectral image that is 95% similar to the final non-progressive approach but only requires less than 70% of execution time. The quality of the rendered image is visually plausible being indistinguishable to those rendered by the non-progressive method. Our algorithm demonstrates features of fast convergence and high image fidelity. It is graceful, efficient, progressive, and flexible for full spectral rendering. (C) 2005 Elsevier Ltd. All rights reserved.
ISSN: 1077-2014
DOI: 10.1016/j.rti.2005.01.004
Appears in Collections:資訊科學與工程學系所

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