An efficient projection defocus algorithm based on multi-scale convolution kernel templates |
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Authors: | Bo Zhu Li-jun Xie Guang-hua Song Yao Zheng |
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Affiliation: | 1. School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310027, China 2. Center for Engineering and Scientific Computation, Zhejiang University, Hangzhou, 310027, China
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Abstract: | The focal problems of projection include out-of-focus projection images from the projector caused by incomplete mechanical focus and screen-door effects produced by projection pixilation. To eliminate these defects and enhance the imaging quality and clarity of projectors, a novel adaptive projection defocus algorithm is proposed based on multi-scale convolution kernel templates. This algorithm applies the improved Sobel-Tenengrad focus evaluation function to calculate the sharpness degree of intensity equalization and then constructs multi-scale defocus convolution kernels to remap and render the defocus projection image. The resulting projection defocus corrected images can eliminate out-of-focus effects and improve the sharpness of uncorrected images. Experiments show that the algorithm works quickly and robustly and that it not only effectively eliminates visual artifacts and can run on a self-designed smart projection system in real time but also significantly improves the resolution and clarity of the observer’s visual perception. |
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Keywords: | Projection focal Sobel-Tenengrad evaluation function Projector defocus Multi-scale convolution kernels |
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