Physically-based visual simulation on graphics hardware
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Real-Time Image Processing on a Focal Plane SIMD Array
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
Performance evaluation of programmable graphics hardware for image filtering and stereo matching
Proceedings of the ACM symposium on Virtual reality software and technology
Multi-resolution real-time stereo on commodity graphics hardware
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Similarity-based image organization and browsing using multi-resolution self-organizing map
Image and Vision Computing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Programmable graphics hardware have proven to be a powerful resource for general computing. Previous research has shown that using a GPU for local image processing operations can be much faster than using a CPU. The actual speedup obtained is influenced by many factors. In this paper, we quantify the performance gain that can be achieved by using the GPU for different image processing operations under different conditions. We also compare the strengths and weaknesses of two of the current leaders in mainstream GPUs – ATI's Radeon and nVidia's GeForce FX. Many interesting observations are obtained through the evaluation.