In this paper, a new multiscale kernel function model is proposed, according to kernel function nature and the wavelet frame theory. thus a new image support feature is defined based on the multiscale wavelet kernel r...
详细信息
ISBN:
(纸本)9780819469502
In this paper, a new multiscale kernel function model is proposed, according to kernel function nature and the wavelet frame theory. thus a new image support feature is defined based on the multiscale wavelet kernel regression for the purpose of improving image matching algorithm. the comprehensive the feature match and grey correlation method, a novel image fast matching algorithm is proposed based on support feature points. the partial Hausdorff distance is adopted as a similarity measure combined withthe wavelet decomposition iteration to search the fine strategy, in the wavelet domain. According to support feature points the position in original image, extracts corresponding the grey value, and achieves the correlation matching. the matched data are compressed effectively because support feature points are sparse. Experimental results demonstrate that the proposed algorithm is robust, fast and can achieve matching accurately.
For the requirement of fast restoration, an algorithm based on multi-scale blind deconvolution is proposed by ing the multi-scale technology based on wavelet transforms. In the condtion of without knowing the point sp...
详细信息
ISBN:
(纸本)9780819469519
For the requirement of fast restoration, an algorithm based on multi-scale blind deconvolution is proposed by ing the multi-scale technology based on wavelet transforms. In the condtion of without knowing the point spread function (PSF), two observed images will be used as the inputs, and the two PSFs at large scale can be estimated by using of the data of the two low-frequency subband images and by incorporating some constraint regularizations. Deblurring is made in the low-frequency subband of the two images while restraining noises and preserving details in other three high-frequency subbands. A series of experiments have been performed to verify the effectiveness of the proposed algorithm.
the information of range between missile and targets is important not only to missile controlling component, but also to automatic target recognition, so studying the technique of passive ranging from infrared images ...
详细信息
ISBN:
(纸本)9780819469502
the information of range between missile and targets is important not only to missile controlling component, but also to automatic target recognition, so studying the technique of passive ranging from infrared images has important theoretic and practical meanings. Here we tried to get the range between guided missile and target and help to identify targets or dodge a hit. the issue of distance between missile and target is currently a hot and difficult research content. As all know, infrared imaging detector can not range so that it restricts the functions of the guided information processing system based on infrared images. In order to break through the technical puzzle, we investigated the principle of the infrared imaging, after analysing the imaging geometric relationship between the guided missile and the target, we brought forward the method of passive ranging based on equivalent area and provided mathematical analytic formulas. Validating Experiments demonstrate that the presented method has good effect, the lowest relative error can reach 10% in some circumstances.
In the space surveillance applications, recognition of image targets is very important, one of the most difficult problems in imageprocessing is detecting objects in an image. Target detection is a key step for the a...
详细信息
ISBN:
(纸本)9780819469502
In the space surveillance applications, recognition of image targets is very important, one of the most difficult problems in imageprocessing is detecting objects in an image. Target detection is a key step for the applications of space image target recognition. An improved method presented in this paper is designed to detect man-made objects in digital images representing in natural environments. this method is based on Fractal theory. According to the fractal feature of man-made object in space, the object can be partitioned off background based on the difference of intrinsic fractal features between them, where the value of fractal dimension (FD) at the objects' edge is much larger than that in other area. the validity of the proposed method is examined by processing and analyzing images of space target at the end of the paper. In detection of targets for real images of Shenzhou-VI and launch vehicle ChangZheng(CZ), the algorithm has a successful outcome. It will provide great efficiency and speed in detection of space image target, which could be also used for further image feature extraction and image segmentation.
A new effective algorithm of speckle noise reduction was presented in the paper, which took the characteristics of the multiplicative of speckle noise and the complexity of fringe pattern into account explicitly. the ...
详细信息
ISBN:
(纸本)9780819469502
A new effective algorithm of speckle noise reduction was presented in the paper, which took the characteristics of the multiplicative of speckle noise and the complexity of fringe pattern into account explicitly. the relationship expressions are deduced between intensity and speckle noise from the intensity distribution of speckle pattern, which indicates that the intensity ratio is equivalent to the speckle noise ratio in a neighborhood. Due to the complexity and correlativity of fringe pattern information, it leads to the problems of uncertainties during the information processed, the algorithm of speckle noise reduction was built based on exponent entropy, and the approximation precision based on rough set was considered in order to preserve the detail information very well. the presented method has a preferable performance based on the integrated visual and quantitative comparison. Because the filter parameters are adaptively determined by the speckle noise coefficient in the local window, the presented method was able to remove the noise in fringe pattern, and simultaneously preserve its edge effectively. the presented algorithm is effective for the laser speckle noise of fringe pattern particularly.
Recently, many researchers have shown interests in anisotropic diffusion methods in imageprocessing. there are two key problems on image restoration techniques based on anisotropic diffusion: one is to build stable d...
详细信息
ISBN:
(纸本)9780819469519
Recently, many researchers have shown interests in anisotropic diffusion methods in imageprocessing. there are two key problems on image restoration techniques based on anisotropic diffusion: one is to build stable diffusion coefficients;the other is to select the optimal stopping time for iterative diffusion process. In this paper, a time-dependent robust anisotropic diffusion method is proposed. the new method is a robust anisotropic diffusion with incorporated time dependent cooling process, and the gradient threshold is the monotonic decreasing function of the time. thus, the parameters settings and the estimate of the optimal stopping time can be easily resolved. Meanwhile, the proposed method can lessen the over-smooth in image edge features. In order to extent the applicability of the proposed method, we extent the model to the vector-valued form and present time-dependent multispectral robust anisotropic diffusion. Experimental results, performed on several gray images, color images and multispectral remote sensed images, have shown that the time-dependent robust anisotropic diffusion methods can effectively smooth out noise while preserving edge features.
In the past few years, wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and imageprocessing. the hidden Markov tree (HMT) model captures the key features of the joint probabil...
详细信息
ISBN:
(纸本)9780819469519
In the past few years, wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and imageprocessing. the hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet coefficients of real-world data. One potential drawback to the HMT framework is the deficiency for taking account of intrascale correlations that exist among neighboring wavelet coefficients. In this paper, We propose to develop a joint hidden Markov model by fusing the wavelet Bayesian denoising technique with an image regularization procedure based on HMT and Markov random field (MRF). the Expectation-Maximization algorithm is used to estimate hyperparameters and specify the mixture model. the noise-free wavelet coefficients are finally estimated by a shrinkage function based on local weighted averaging of the Bayesian estimator. It is shown that the joint method outperforms lee filter and standard HMT techniques in terms of the integrative measure of the equivalent number of looks (ENL) and Pratt's figure of merit(FOM), especially when dealing with speckle noise in large variance.
In this paper, we present a new method bases on dynamic graph cut and captures boththe shape and the nature information of the image for interactive image segmentation. While traditional interactive graph cut approac...
详细信息
ISBN:
(纸本)9780819469502
In this paper, we present a new method bases on dynamic graph cut and captures boththe shape and the nature information of the image for interactive image segmentation. While traditional interactive graph cut approaches for image segmentation are often successful, they may fail in camouflage. Prior shape knowledge can largely mitigate this problem. In this paper, two kinds of shape priors are taken into account to obtain more accurate results. In order to use the information from user input more effectively, a weight function is introduced to control the relative importance of shape knowledge. then, a one-shot fully dynamic graph cut algorithm is introduced to minimize the energy function, and during this procedure, only a subset of pixels in the image is considered, which greatly reduces the complexity of dynamic graph cut algorithm. Extensive experiments, including comparisons with some state-of-the-arts, show the effectiveness of our methods in improving the segmentation performance and saving the processing time.
作者:
Yi, YaohuaLiu, JuhuaYu, ChanghuiQin, QlanqingWuhan Univ
Sch Printing & Packaging 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ
Sch Remote Sensing Informat Engn 2 Wuhan 430079 Peoples R China Wuhan Univ
State Key Lab Informat Engn Surveying Mapping & Remote Sensing Wuhan 430079 Peoples R China
In the workflow of image reproduction, the halftone image is usually used as scanned original image. the moire patterns are a result of intervention during the process of scanning. this paper provides a descreening me...
详细信息
ISBN:
(纸本)9780819469502
In the workflow of image reproduction, the halftone image is usually used as scanned original image. the moire patterns are a result of intervention during the process of scanning. this paper provides a descreening method of scanned halftone image based on wavelet according to the cause and the character of moire patterns. Experiment result shows that this descreening method can remove the moire patterns effectively and at the same time hold the definition and entropy of the scanned halftone image.
作者:
Yu, ChanghuiMeng, LingkuiYi, YaohuaYang, ZhigaoWuhan Univ
Sch Remote Sensing Informat Engn 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ
Sch Printing & Packaging Wuhan AH-430079 Peoples R China Wuhan Univ
State Key Lab Informat Engn Surveying Mapping & Remote Sensing Wuhan AH-430079 Peoples R China
the commercialization of high resolution remote sensing image provides the image application more widely space. How to extract the interested important objects quickly and exactly from remote sensing image is always t...
详细信息
ISBN:
(纸本)9780819469502
the commercialization of high resolution remote sensing image provides the image application more widely space. How to extract the interested important objects quickly and exactly from remote sensing image is always the research focus. After analyzed the characteristics of road in high resolution image, the paper constructed the road extraction model based on MRF and Bayesian. And finally the validity of the method was confirmed by an example.
暂无评论