Name
Abstract | ||
|---|---|---|
We introduce a new concept for accelerating realistic image synthe- sis algorithms. At the core of this procedure is a novel physical error metric that correctly predicts the perceptual threshold for detecting artifacts in scene features. Built into this metric is a computational model of the human visual system's loss of sensitivity at high back- ground illumination levels, high spatial frequencies, and high con- trast levels (visual masking). An important feature of our model is that it handles the luminance-dependent processing and spatially- dependent processing independently. This allows us to precompute the expensive spatially-dependent component, making our model extremely efficient. We illustrate the utility of our procedure with global illumina- tion algorithms used for realistic image synthesis. The expense of global illumination computations is many orders of magnitude higher than the expense of direct illumination computations and can greatly benefit by applying our perceptually based technique. Results show our method preserves visual quality while achieving significant computational gains in areas of images with high fre- quency texture patterns, geometric details, and lighting variations. CR Categories: I.3.3 (Computer Graphics): Picture/Image Gen- eration; I.3.7 (Computer Graphics): Three-Dimensional Graphics and Realism. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1145/311535.311543 | SIGGRAPH |
Keywords | Field | DocType |
visual masking,error metric,adaptive sampling,perception,realistic image synthesis,physical error,visual threshold,global illumination,computer graphic,spatial dependence,computer model | Computer vision,Computer graphics (images),Adaptive sampling,Computer science,Human visual system model,Image synthesis,Global illumination,Artificial intelligence,Visual threshold,Spatial frequency,Visual masking,Computation | Conference |
ISSN | ISBN | Citations |
0097-8930 | 0-201-48560-5 | 163 |
PageRank | References | Authors |
13.23 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahesh Ramasubramanian | 1 | 163 | 13.57 |
| Sumanta N. Pattanaik | 2 | 964 | 129.60 |
| Donald P. Greenberg | 3 | 4884 | 1568.57 |