Title :
Real-Time Restoration for Motion-Blurred Color Images by Multichannel Combination Processing
Author :
Li, Shi ; Zhang, Bao ; Sun, Hui
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun
Abstract :
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 newel 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 1024times1024 24-bit motion-blurred color image in 7.95 ms, and the PSNR of the restored image is 27.12 which reveals a good restoration performance.
Keywords :
image colour analysis; image reconstruction; color space conversion model; graphics processing unit; motion-blurred color images; multichannel combination processing; real-time restoration; Color; Computer science education; Degradation; Educational technology; Humans; Image restoration; Image sampling; Physics education; Video compression; Wiener filter; color image; image restoration; motion-blurred; real-time computing;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.110
