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Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
Wang Y.; Zhao X.; Mo X.; Wang Y.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.  
Color filtering method for CFA images based on gradient (EI CONFERENCE) 会议论文
International Conference on Communication Systems and Network Technologies, CSNT 2012, May 11, 2012 - May 13, 2012, Rajkot, Gujrat, India
Sun H.; Wang Y.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values  three color is R(red)  G(green) and B(blue). To render a full-color image  need an interpolation process commonly referred to as CFA demosaicking  is required to estimate the other two contributions for producing a full-color image. But  the noise in imaging sensors not only corrupts the color filter array  at the same time introduces artifacts during the color interpolation step and influence quality of images. In order to acquire high quality full-color images  adopt a sort of viable and effective interpolation algorithm based on gradient  at the time of removing the noise  reserve image border and detail information clearly. 2012 IEEE.  
Multi-scale edge extraction based stereo matching algorithm (EI CONFERENCE) 会议论文
2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010, December 11, 2010 - December 12, 2010, Chongqing, China
Lian J.; Li L.; Shen X.; Hao X.
收藏  |  浏览/下载:11/0  |  提交时间:2013/03/25
In the field of robot vision  edge feature based stereo matching algorithm can reconstruct the targets with clear contours  which needs accurate and continuous target edges been extracted. In the paper  the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly. (2011) Trans Tech Publications.  
Study on supper resolution reconstruction based on staggered arrays (EI CONFERENCE) 会议论文
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Yuan Z.; Xing Z.; Guang J.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
The image resolution can be improved without increasing the requirement to optical imaging systems' parameters and decreasing the size of CCD pixel by staggered arrays technology  which arranges several CCDs in a specific mode. In this paper  an image super resolution method of improving the image resolution for 1.5 times both in two directions by 4 linear arrays staggered based on this technology is presented  which avoids the large computation in a single time by use of circulation method. This method is proved effective by the digital simulation  and a simulated experiment platform is constructed to test its feasibility. The image resolution is improved for 1.42 times of the unreconstructed image according to the imaging experiment of resolution chart  which is closed to 1.5 times in ideal case. And also  the reconstructed and unreconstructed images are evaluated by the image information entropy  which proves that the reconstructed image contains more information. 2011 IEEE.  
Multi-channel high-speed TDICCD image data acquisition and storage system (EI CONFERENCE) 会议论文
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Zang J.; Li Y.; Xue X.; Guo Y.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
For multi-channel high-speed image data of certain space remote sensing camera  this paper proposed a new image data acquisition and storage system. First of all  the system uses Field-Programmable Gate Array(FPGA) controlling synchronous dynamic random access memory(SDRAM) array to realize the cache of image data  then according to the received commands  sends certain channel's image data to the acquisition card to write the image data into SCSI hard disk and implements the final storage. A Time Delay Integral Charge Couple Device(TDICCD) image data acquisition and storage system with five channels is developed  pixel clock rate is up to 96MHz  total effective data rate is up to 2.88Gb/s  single channel storage depth is up to 7810 lines. The experimental results indicate that this system work stably  high effectively which can meet the requirement of acquisition and storage of multi-channel high-speed TDICCD image data. 2010 IEEE.  
Data preprocessing of the exterior field of vision assembling photogrammetric camera (EI CONFERENCE) 会议论文
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
Liu J.; Li J.; Li G.; Wang Z.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Transmit array photogrammetric camera can obtain image which is high geometric fidelity and high photogrammetric quality. However  the single chip array CCD image sensor camera can't meet the need of measuring precision and photogrammetric covering area. In order to obtain large numbers of information and extensive photogrammetric covering area  we must increase field of vision angle and improve photogrammetric covering area. And all these objects can be realized by exterior field of vision assembling photogrammetric camera. Two side work must be done before images  which obtained by exterior field of vision assembling photogrammetric camera  be used in photogrammetry. First  all assembling camera focal plane need be converted to a benchmark coordinate focal plane to realize camera digital assembling. Second  images must be re-sampled and processing. Because of coordinate conversion  two images from different assembling cameras can be established function relation  which a pixel of image from a camera is corresponding to a pixel of another image from different camera. But through this conversion  some pixels maybe extrusion together and other pixels separate on an image area. So interpolation direction finding(IDF) is used to obtain these pixels and realize image re-sampling. In this paper  the structure of exterior field of vision assembling photogrammetric camera is analyzed  and the coordinate conversion method of exterior field of vision assembling photogrammetric camera and image gray re-sampling method also can be discussed. All the works are based to data pretreatment of exterior vision assembling photogrammetric camera.  


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