Efficient image/video retexturing using parallel bilateral grids
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
VEA 2012: Interactive image/video retexturing using GPU parallelism
Computers and Graphics
Trilateral filtering-based retinex for image enhancement
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
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Using fast trilateral filtering we present a novel tone mapping and retexturing method for high dynamic range (HDR) images. Our new trilateral filtering-based tone mapping is about seven to ten times faster than that in [3]. Firstly, a novel tone mapping algorithm for HDR images is presented. It is based on fast bilateral filtering and two newly developed filters: the quasi-Cauchy function kernel filter and the fourth degree Taylor polynomial kernel filter. Secondly, a new gradient-based image retexturing method is introduced, which consists of three steps: 1) converting HDR images into low dynamic range (LDR) images using our fast trilateral filtering-based tone mapping method; 2) recovering the gradient luminance maps for the region to be retextured; 3) reconstructing the final retextured image by solving the Poisson equation. The proposed approach is suitable for HDR image tone mapping and retexturing, and experimental results have demonstrated the satisfactory performance of our method.