Implementation of Parallel Image Processing Using NVIDIA GPU Framework

Author:

Daga Brijmohan,Bhute Avinash,Ghatol Ashok

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. NVIDIA, CUDA Programming Guide Version 2.3. NVIDIA Corporation: Santa Clara, California Intel, Quad-Core Intel® Xeon® Processor 5400 Series 2008, Intel Corporation: Santa Clara, California (2008), http://gpgpu.org , General-Purpose Computation on Graphics Hardware

2. Allard, J., Raffin, B.: A shader-based parallel rendering framework. In: Visualization, 2005, VIS 2005, pp. 127–134. IEEE, Los Alamitos (2005)

3. Neve, D., et al.: GPU-assisted decoding of video samples represented in the YCoCg-R color space. In: Proc. ACM Int. Conf. on Multimedia (2005)

4. Sinha, S.N., Frahm, J.-M., Pollefeys, M., Genc, Y.: Feature tracking and matching in video using programmable graphics hardware. In: Machine Vision and Applications, MVA (2007)

5. Burt, P.J., Andelson, E.H.: A multiresolution blend with application to image mosaics. ACM transactions on Graphics 2(4) (1983)

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