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	Improvement of image deblurring for opto-electronic joint transform correlator under projective motion vector estimation 期刊论文 OAI收割 optics communications, 2014, 卷号: 321, 页码: 189-194 作者: 收藏 \| 浏览/下载：32/0 \| 提交时间：2015/03/17 Image reconstruction-restoration Fourier optics and signal processing Spatial light modulators
	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：50/0 \| 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.
	Approaches to convergence enhancement of multiframe blind deconvolution of astronomical images 期刊论文 OAI收割 ACTA PHYSICA SINICA, 2006, 卷号: 55, 期号: 12, 页码: 6708-6714 作者: Luo Lin; Wang Li; Cheng Wei-Dong; Shen Mang-Zuo 收藏 \| 浏览/下载：34/0 \| 提交时间：2015/09/21 atmospheric optics astronomical observations image processing and restoration
	Restoration of moving blurred image based on TMS320C6416 (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu W. 收藏 \| 浏览/下载：45/0 \| 提交时间：2013/03/25 To absolve image blur caused by camera's high speed fixed-point DSP TMS320C6416 and wiener filtering algorithm are adopted to stabilize image. On the premise that cameras have uniform motion restoration model for moving blurred image was researched the principle of Wiener filtering is explained the key technologies of moving blurred image restoration with TMS320C6416 are introduced: how to complete FFT calculation of 32bit and how to exert DMA function of DSP to enhance processing speed ring effect and ghost effect in restored image are explained and how the parameter of wiener filter affects ring effect and ghost effect is discussed in addition to this other reasons of ring effect and ghost effect are analyzed detailed. Experiments shows that One TMS320C6416 chip can restore seven frames per second there is great hope to realize real-time restoration if adopting multi-DSP or the FFT completion by hardware.