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	Directional multiscale edge detection using the contourlet transform (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States 作者: Jin L.-X.; Han S.-L.; Zhang R.-F. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 Wavelet multiresolution analysis allows us to detect edges at different scales also to obtain other important aspects of the extracted edges. However due to the usual two-dimensional tensor product wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities and the extracted edges are not continuous. In order to solve that problem we propose a new image edge detection method based on the contourlet transform. The directional multiresolution representation Contourlet takes advantages of the intrinsic geometrical structure of images and is appropriate for the analysis of the image edges. Using the modulus maxima detection an image edge detection method based on contourlet transform is proposed. To suppress the image noise effect on edge detection the scale multiplication in contourlet domain is also proposed. Through real images experiments the proposed edge detection method's performance for the extracted edges is analyzed and compared with other two edge detection methods. The experiment result proves that the proposed edge detection method improves over wavelet-based techniques and Canny detector and also works well for noisy images. 2010 IEEE.
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.
	An automatic target detection algorithm based on wavelet analysis for infrared image small target in background of sea and sky 会议论文 OAI收割 Conference on Acquisition, Tracking, and Pointing XVII, ORLANDO, FL, April 22-22, 2003 作者: Wei Y(魏颖); Shi ZL(史泽林); Yu HB(于海斌) 收藏 \| 浏览/下载：22/0 \| 提交时间：2012/06/06 image recognition automatic target detection wavelet multiresolution analysis edge detection sea-level line
	Wavelet analysis based detection algorithm for infrared image small target in background of sea and sky 会议论文 OAI收割 3rd International Symposium on Image and Signal Processing and Analysis (ISPA), Rome, ITALY, September 18-20, 2003 作者: Wei Y(魏颖); Shi ZL(史泽林); Yu HB(于海斌) 收藏 \| 浏览/下载：33/0 \| 提交时间：2012/06/06 image recognition automatic target detection wavelet multiresolution analysis edge detection sea-level line
	Visualization of a Turbulent Jet Using Wavelets 期刊论文 OAI收割 JOURNAL OF THERMAL SCIENCE, 2001, 卷号: 10, 期号: 3, 页码: 211,217 Hui LI 收藏 \| 浏览/下载：12/0 \| 提交时间：2013/03/12 digital image processing multiresolution image analysis orthogonal wavelet transform turbulent jet vortex.
	静止图象的小波压缩研究学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 1998 夏勇收藏 \| 浏览/下载：32/0 \| 提交时间：2015/09/02 多媒体通信图象压缩图象编码小波变换多分辨分析量化滤波器设计零树 Multimedia Communication Image Compression Image Coding Wavelet Transform Multiresolution Analysis Quantization Filter design Ze