SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Generating antialiased images at low sampling densities
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Antialiased ray tracing by adaptive progressive refinement
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
A course in fuzzy systems and control
A course in fuzzy systems and control
A framework for realistic image synthesis
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A perceptually based adaptive sampling algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A framework for realistic image synthesis
Communications of the ACM
Statistically optimized sampling for distributed ray tracing
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Antialiasing through stochastic sampling
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
An improved illumination model for shaded display
Communications of the ACM
Intelligent Systems and Soft Computing: Prospects, Tools and Applications
Adaptive Smpling and Bias Estimation in Path Tracing
Proceedings of the Eurographics Workshop on Rendering Techniques '97
Tapestry: A Dynamic Mesh-based Display Representation for Interactive Rendering
Proceedings of the Eurographics Workshop on Rendering Techniques 2000
Refinement criteria based on f-divergences
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Image Processing
Adaptive sampling based on fuzzy inference
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
AM-GM difference based adaptive sampling for Monte Carlo global illumination
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
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Monte Carlo is the only choice for a physically correct method to compute the problem of global illumination in the field of realistic image synthesis. Adaptive sampling is an interesting means to reduce noise, which is one of the major problems of general Monte Carlo global illumination algorithms. In this paper, we make use of the fuzzy uncertainty existing in image synthesis and exploit the formal concept of fuzziness in fuzzy set theory to evaluate pixel quality to run adaptive sampling efficiently. Experimental results demonstrate that our novel method can perform significantly better than classic ones. To our knowledge, this is the first application of the fuzzy technique to global illumination image synthesis problems.