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Real-time restoration for motion-blurred color images by multichannel combination processing (EI CONFERENCE) 会议论文  OAI收割
1st International Workshop on Education Technology and Computer Science, ETCS 2009, March 7, 2009 - March 8, 2009, Wuhan, Hubei, China
作者:  
Sun H.;  Sun H.;  Li S.
收藏  |  浏览/下载:46/0  |  提交时间:2013/03/25
A fast algorithm is proposed to restore the color images  degraded in a deterministic way by motion- blurred  by multichannel combination processing. Based on the color space conversion model  the point spread functions of the image motion on each plane of YUV422 image can be achieved. The U  V plane of YUV422 images are combined to form a new UV plane which has the same size as Y plane. Then  the Y  UV plane are packed into a two dimensional complex array which can be transformed directly by FFT and result a composite frequency spectrum. Wiener filter is applied to filter Y  UV spectrums separated from the composite spectra. On Graphics Processing Unit (GPU) platform  the proposed algorithm can restore a 1024x1024 24-bit motion-blurred color image in 7.95ms  and the PSNR of the restored image is 27.12 which reveals a good restoration performance. 2009 IEEE.