Combination Restoration for Motion-blurred Color Videos under Limited Transmission Bandwidth
Автор: Shi Li, Yuping Feng, Bao Zhang, Hui Sun
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 1 vol.1, 2009 года.
Бесплатный доступ
Color video images degraded in a deterministic way by motion-blurring can be restored by the new algorithm in real-time by using color components combination to fit to the limited transmission bandwidth. The image motion PSF of each surface of YUV422 image can be obtained based on the color space conversion model. The Y, U, V planes are packed to construct a 2 dimensional complex array. Through the decomposition of frequency domain, the Y, U, V frequency can be had respectively by performing Fourier transform a time on the specific complex array. The resulting frequencies will be filtered by Wiener filter to generate the final restored images. The proposed algorithm can restore 1024x1024 24-bit motionblurred color video images at 18 ms/frame speed on GPU, and the PSNR of the restored frame is 31.45. The experiment results show that the proposed algorithm is 3X speed compared to the traditional algorithm, and it reduces the bandwidth of video data stream 1/3.
Motion-blurred, color image, image restoration, real-time computing, graphic processing unit
Короткий адрес: https://sciup.org/15011957
IDR: 15011957
Список литературы Combination Restoration for Motion-blurred Color Videos under Limited Transmission Bandwidth
- H. H. Jhang, Using Support Vector Committee Machine for Face Tracking Based on Adaptive Color Space Switching, Graduate school of electronic engineering national yunlin university of science & technoloty, 2006
- S Süsstrunk, R Buckley, S Swen, Standard RGB Color Spaces, Proc. IS&T/SID 7th Color Imaging Conference, 1999
- H. C. Andrews and B.R. Hunt, Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall, 1977.
- M. R. Banham, A. K. Katsaggelgs, ”Digital image restoration,” IEEE signal proc. mag.. 1997 ,March: 24-41
- P. Jia, H. Sun, B. Zhang, “Restorationofmotion-blurredaerialimage,” Optics and Precision Engineering，2006，14(4) ：697-703
- D Tschumperle, R Deriche, “Constrained and unconstrained PDEs for vector image restoration”, Scandinavian Conference on Image Analysis, Bergen, Norway, June 2001.
- I. E. G. Richardson. Video Codec Design: Developing Image and Video Compression Systems. John Wiley & Sons LTD. 2002
- D Chai, A Bouzerdoum, “A Bayesian approach to skin color classification in YCbCr colorspace,” TENCON 2000. Proceedings, 2000 vol.2: 421-424
- Steven W. Smith, The Scientist and Engineer's Guide to Digital Signal Processing. California Technical Publishing,(1997)
- S. Li, B. Zhang, H. Sun “Real-time restoration using real discrete Fourier transform for aerial E-O imaging system,” Optics and Precision Engineering， 2007，15(8)：1287-1292
- K. Moreland, E. Angel, “The FFT on a GPU,” In SIGGRAPH/Eurographics Workshop on Graphics Hardware 2003 Proceedings, 2003 July: 112–119
- M. Pharr, R. Fernando GPU Gems2. Addison-Wesley Professional,March 13, 2005
- S. Li, B. Zhang, H.Sun. “Parallel restoration for motion-blurred aerial image．”Optics and Precision Engineering，2009，17(1):225-230
- Tan K C, Lim H, Tan B T G. Restoration of realworld motion-blurred images, CVGIP, 1991, 53: 291-299.
- Tan K C, Lim H, Tan B T G. Windowing techniques for image restoration. CVGIP, 1991, 53: 491-500.
