Perception of noise and global illumination: Toward an automatic stopping criterion based on SVM
N Takouachet, S Delepoulle, C Renaud… - Computers & …, 2017 - Elsevier
Unbiased global illumination methods based on stochastical techniques provide
photorealistic images. However, they are prone to noise that can only be reduced by
increasing the number of processed samples. The problem of finding the number of samples
that are required in order to ensure that most observers cannot perceive any noise is still an
open issue. In this article, we address this problem focusing on visual perception of noise.
However, rather than using known perceptual models, we investigate the use of learning …
photorealistic images. However, they are prone to noise that can only be reduced by
increasing the number of processed samples. The problem of finding the number of samples
that are required in order to ensure that most observers cannot perceive any noise is still an
open issue. In this article, we address this problem focusing on visual perception of noise.
However, rather than using known perceptual models, we investigate the use of learning …
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