To exploit uncertainty masking for adaptive image rendering

• المؤلفون الرئيسيون: Dong, Lu, Lin, Weisi, Deng, Chenwei, Zhu, Ce, Seah, Hock Soon
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/96709; http://hdl.handle.net/10220/18151

For high-quality image rendering using Monte Carlo methods, a large number of samples are required to be computed for each pixel. Adaptive sampling aims to decrease the total number of samples by concentrating samples on difficult regions. However, existing adaptive sampling schemes haven't ful...