中国科学院机构知识库网格系统: 检索

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	Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者: Wang Y.; Li J.; Li J.; Li J.; Wang Y. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 This paper proposes a new restoration method only using the single image information combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods our restoration technique is not only independent on predicted structure distributions of scene reflectance or detailed knowledge about the particular weather condition but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.
	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：47/0 \| 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.
	Mathematical symbols and computing methods in high dimensional biomimetic informatics and their applications 期刊论文 OAI收割 chinese journal of electronics, 2008, 卷号: 17, 期号: 1, 页码: 1-7 Wang, SJ; Liu, XX 收藏 \| 浏览/下载：76/13 \| 提交时间：2010/03/08 high dimensional biomimetic informatics biomimetic pattern recognition pattern recognition blurred image restoration uneven lighting image correction
	Mathematical symbols and computing methods in high dimensional biomimetic informatics and their applications 期刊论文 iSwitch采集 Chinese journal of electronics, 2008, 卷号: 17, 期号: 1, 页码: 1-7 作者: Wang Shoujue; Liu Xingxing 收藏 \| 浏览/下载：29/0 \| 提交时间：2019/05/12 High dimensional biomimetic informatics Biomimetic pattern recognition Pattern recognition Blurred image restoration Uneven lighting image correction
	High dimensional imagery geometry and it's applications 期刊论文 iSwitch采集 Chinese journal of electronics, 2006, 卷号: 15, 期号: 4a, 页码: 761-767 作者: Wang Shoujue; Lai Jiangliang 收藏 \| 浏览/下载：37/0 \| 提交时间：2019/05/12 High dimensional imagery geometry Blurred image restoration Biomimetic pattern recognitio Uneven lighting image correction
	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：43/0 \| 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.
	High dimensional imagery geometry and it's applications 期刊论文 OAI收割 chinese journal of electronics, 2006, 卷号: 15, 期号: 4a, 页码: 761-767 Wang SJ (Wang Shoujue); Lai JL (Lai Jiangliang) 收藏 \| 浏览/下载：147/0 \| 提交时间：2010/04/11 high dimensional imagery geometry blurred image restoration biomimetic pattern recognitio uneven lighting image correction BIOMIMETIC PATTERN-RECOGNITION REDUCTION
	Aerial image blurring caused by image motion and its restoration using wavelet transform (EI CONFERENCE) 会议论文 OAI收割 Electronic Imaging and Multimedia Technology IV, November 8, 2004 - November 11, 2004, Beijing, China 作者: Liu G. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 A wavelet-based approach of aerial blurred image restoration is proposed in this article. Image motion is inevitable in photographing for aerospace camera. Though some Image Motion Compensation(IMC) schemes are applied in aerial imaging system the ultimate image will be blurred in certain extent for the existence of IMC residual error while the forward image motion is the key element among all image motions which lead to image blurring. First the course of blurring caused by forward image motion is expressed using wavelet transform and a multiresolution sparse matrix representation of the degeneration model is obtained according to the wavelet transform. Subsequently a regularizing restoration algorithm is deduced from it and which can smoothly restraint the processed result efficiently. In the end the proposed approach is tested in MATLAB. The blurred image is restored using above-mentioned wavelet algorithm conventional contrary filter and Wiener filter algorithm separately. The conclusion that the wavelet-based restoration algorithm is superior to other two approaches is obtained by comparing the restored image's value of mean gradient. The calculating quantity of the wavelet-based blurred image restoration approach isn't large and it has good practicability in the field of image interpretation and aerial survey or drawing.