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	Removing Random-Valued Impulse Noises by a Two-Staged Nonlinear Filtering Method 期刊论文 OAI收割 Transactions of Nanjing University of Aeronautics and Astronautics, 2016, 卷号: 33, 期号: 3, 页码: 329-338 作者: Ahmad Ashfaq; Lu Yanting 收藏 \| 浏览/下载：17/0 \| 提交时间：2017/01/17 image de-noising random-valued impulse noise nonlinear filter noisy pixel detection two-stage detection and correction method directional differences
	An automatic and effective approach in identifying tower cranes 会议论文 OAI收割 Fourth International Conference on Digital Image Processing, Bellingham Yu, Bo; Niu, Zheng; Wang, Li; Liu, Yaqi 收藏 \| 浏览/下载：16/0 \| 提交时间：2014/12/07 Morphological method object identification geometrical characters tower cranes image segmentation IMAGE SEGMENTATION IMPULSE NOISE
	CCD noise effect on data transmission efficiency of onboard lossless-compressed remote sensing images 会议论文 OAI收割 2009 International Conference on Information Engineering and Computer Science, ICIECS 2009,, Wuhan, China, December 19, 2009 - December 20,2009 Wu; Chi, Yaobin; Wang, Zhiyong 收藏 \| 浏览/下载：47/0 \| 提交时间：2014/12/07 Data compression Compression ratio (machinery) Computer science Data compression ratio Data processing Digital cameras Gaussian noise (electronic) Image compression Image reconstruction Impulse noise Remote sensing
	CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang J.-L.; Wang J.-L.; Li D.-Y.; Wang Y.-P. 收藏 \| 浏览/下载：18/0 \| 提交时间：2013/03/25 In the procedure of computed radiography imaging we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail the author think that the major two noises are Gaussian white noise and Poisson noise. Then the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images a multiscale image filtering algorithm which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM according to scale size and achieve the experiments as well as the comparison with other denoising methods were presented at last.
	A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light and indeed we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm the tracing of WTMM is not just tedious procedure computationally algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.
	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.
	Numerical Simulation of a Negative Impulsive Wave 期刊论文 OAI收割 JOURNAL OF THERMAL SCIENCE, 1995, 卷号: 4, 期号: 3, 页码: 149,157 Toshiaki SETOGUCHI; Manabu TAKAO; Shen YU; Hiroyuki HIRAHARA 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/13 negative impulse wave active noise cancellation shock tube.