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Front. Inform. Technol. Electron. Eng.  2013, Vol. 14 Issue (12): 930-940    DOI: 10.1631/jzus.C1300080
    
An efficient projection defocus algorithm based on multi-scale convolution kernel templates
Bo Zhu, Li-jun Xie, Guang-hua Song, Yao Zheng
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China; 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.

Key wordsProjection focal      Sobel-Tenengrad evaluation function      Projector defocus      Multi-scale convolution kernels     
Received: 03 April 2013      Published: 06 December 2013
CLC:  TP391  
Cite this article:

Bo Zhu, Li-jun Xie, Guang-hua Song, Yao Zheng. An efficient projection defocus algorithm based on multi-scale convolution kernel templates. Front. Inform. Technol. Electron. Eng., 2013, 14(12): 930-940.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1300080     OR     http://www.zjujournals.com/xueshu/fitee/Y2013/V14/I12/930


An efficient projection defocus algorithm based on multi-scale convolution kernel templates

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.

关键词: Projection focal,  Sobel-Tenengrad evaluation function,  Projector defocus,  Multi-scale convolution kernels 
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