TY - GEN
T1 - To exploit uncertainty masking for adaptive image rendering
AU - Dong, Lu
AU - Lin, Weisi
AU - Deng, Chenwei
AU - Zhu, Ce
AU - Seah, Hock Soon
PY - 2013
Y1 - 2013
N2 - 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 fully exploited the potential of image regions with complex structures to the reduction of sample numbers. To solve this problem, we propose to exploit uncertainty masking in adaptive sampling. Experimental results show that incorporation of uncertainty information leads to significant sample reduction and therefore time-savings.
AB - 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 fully exploited the potential of image regions with complex structures to the reduction of sample numbers. To solve this problem, we propose to exploit uncertainty masking in adaptive sampling. Experimental results show that incorporation of uncertainty information leads to significant sample reduction and therefore time-savings.
UR - http://www.scopus.com/inward/record.url?scp=84883319277&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2013.6572472
DO - 10.1109/ISCAS.2013.6572472
M3 - Conference contribution
AN - SCOPUS:84883319277
SN - 9781467357609
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2848
EP - 2851
BT - 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
T2 - 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
Y2 - 19 May 2013 through 23 May 2013
ER -