Abstract
Although many upsampling methods have been proposed, but no method can get result images with satisfactory quality in real-time. In this paper, we propose a CUDA based image upsampling algorithm, which can generate sharp edges with reduced grid-related artifacts efficiently. By analyzing existing method, we find chock points which confine the efficiency of the algorithm mostly and use CUDA to accelerate our algorithm and improve the implementation model of the algorithm. In this way we not only guarantee the quality of the result image, but also realize the purpose of a real-time human-computer interaction. Experimental results show that our method can get high-quality upsampled images efficiently.
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References
Shi, J.: The basis of Virtual reality and its practical algorithm. Science Press, Beijing (2002)
Williams, L.: Pyramidal Para metrics. Computer (1983)
Han, H., Zhang, C.: The research of the real-time interactive technology Clipmap in scene with huge texture, Jinan (2003)
Losasso, F., Hoppe, H.: Geometry clipmaps; terrain rendering using nested regular grids. ACM Transactions on Graphics 23(3) (2004)
Tian, D., Zheng, X.: Adaptive Large-scale Terrain texture Mapping Technology. The IADIS Computer Graphics and Visualization (2008)
Ratakonda, K., Ahuja, N.: POCS based adaptive image magnification. Image Processing (1998)
Su, Willis: Image interpolation by pixelleveldata-dependent triangulation. Computer Graphics Forum 23, 189–202 (2004)
Tumblin, Choudhury: Bixels: Picture samples with sharp embedded boundaries. Eurographics Symposium on Rendering (2004)
Fattal, R.: Upsampling via Imposed Edges Statistics. In: Proceedings of Siggraph (2007)
NVIDIA Corporation, http://developer.nvidia.com/
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© 2011 Springer-Verlag Berlin Heidelberg
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Xu, Q., Zheng, X., Chen, J. (2011). High-Quality Fast Image Upsampling Algorithm Based on CUDA. In: Jacko, J.A. (eds) Human-Computer Interaction. Design and Development Approaches. HCI 2011. Lecture Notes in Computer Science, vol 6761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21602-2_74
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DOI: https://doi.org/10.1007/978-3-642-21602-2_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21601-5
Online ISBN: 978-3-642-21602-2
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