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SURE-based À-Trous Wavelet Filter for Interactive Monte Carlo Rendering
Soomin Kim(김수민),Bochang Moon(문보창),Sung-Eui Yoon(윤성의) Korean Institute of Information Scientists and Eng 2016 정보과학회논문지 Vol.43 No.8
Monte Carlo ray tracing has been widely used for simulating a diverse set of photorealistic effects. However, this technique typically produces noise when insufficient numbers of samples are used. As the number of samples allocated per pixel is increased, the rendered images converge. However, this approach of generating sufficient numbers of samples, requires prohibitive rendering time. To solve this problem, image filtering can be applied to rendered images, by filtering the noisy image rendered using low sample counts and acquiring smoothed images, instead of naively generating additional rays. In this paper, we proposed a Steins Unbiased Risk Estimator (SURE) based À-Trous wavelet to filter the noise in rendered images in a near-interactive rate. Based on SURE, we can estimate filtering errors associated with À-Trous wavelet, and identify wavelet coefficients reducing filtering errors. Our approach showed improvement, up to 6:1, over the original À-Trous filter on various regions in the image, while maintaining a minor computational overhead. We have integrated our propsed filtering method with the recent interactive ray tracing system, Embree, and demonstrated its benefits.
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