Results 121 to 130 of about 711 (171)

Medical image enhancement based on NSCT

IET International Conference on Smart and Sustainable City 2013 (ICSSC 2013), 2013
A novel method for medical images enhancement based on NSCT and image statistical properties was proposed. Firstly, nonsubsampled contourlet transform provides a multiresolution and multi-direction analysis for the medical images. We use the nonsubsampled Laplace Pyramids to decompose the image into different scales, then use the nonsubsampled ...
null Feng Zhou, null Yang Li, null Xiaojun Zhou, null Xiuli Ma   +3 more
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Image segmentation based on NSCT and watershed

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
A new method for image segmentation is presented. It combines the nonsubsampled contourlet transform (NSCT) with the marker-controlled watershed algorithm to control over-segmentation and therefore achieving better segmentation. The NSCT is employed to denoise the image and enhance the edges in multiple resolutions, and the image gradient is estimated ...
null Xiongmei Zhang, null Jianshe Song, null Zhaoxiang Yi, null Ruihua Wang   +3 more
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Image Enhancement Based on NSCT

2013
An algorithm for image enhancement based on nonsubsampled contourlet transform (NSCT) is proposed. NSCT is multiresolutional, localized, multidirectional and anisotropic so it can more effectively capture high dimensional singularity. Firstly, the coefficients at different scales and in different directions are obtained by image decomposition using the
Ma Changxia, Bi Ye, Jiang Hongan, Chen Yunping, Zhang Zhanqiang   +4 more
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Depth Image Enhancement and Detection on NSCT and Fractional Differential

Wireless Personal Communications, 2018
For enhancing the low contrast and detecting the noise in depth image from Kinect sensor, the Non-Subsampled Contourlet Transform (NSCT) and non-linear fractional differential are studied in this paper. Firstly, on the basis of the NSCT’s advantages, the depth image is decomposed into low frequency and high frequency.
Ting Cao, Weixing Wang
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Human Face Super-Resolution Based on NSCT

2013
The nonsubsampled contourlet transform (NSCT) is a useful tool for vision and image processing, which has the property of multi-scale, multi-direction, and shift-invariant. In this paper, based on the relations between NSCT coefficients, we propose a novel strategy for single-frame human face super-resolution.
Jing Liu, Guangda Su, Xiaolong Ren, Jiansheng Chen   +3 more
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SPIHT‐based multiple image watermarking in NSCT domain

Concurrency and Computation: Practice and Experience, 2018
SummaryImage watermarking in wavelet domain is a challenging problem as it includes a proper selection of wavelet transforms as well as sub‐bands for accurate embedding and recovery of watermarks. However, selection of a suitable wavelet transform for multiple image watermarking is an area of great interest.
Chandan Kumar 0009, Amit Kumar Singh 0001, Pardeep Kumar 0002, Rajiv Singh, Siddharth Singh   +4 more
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Multi-focus image fusion algorithm based on NSCT

2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012
This paper is aimed at the problem of Multi-focus image fusion for the same scene and has proposed a multi-focus image fusion algorithm based on NSCT [1] (The Nonsubsampled Contourlet Transform). NSCT is the sparse representation of a two-dimension piecewise smooth signals, not only satisfying the anisotropic scaling relation and having the multi-scale,
Yahao Yan, Junping Du 0001, Qingping Li, Min Zuo, JangMyung Lee   +4 more
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Random Noise Redunction of Seismic Data in NSCT Domain

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), 2019
The suppression of random noise in seismic data is an essential step in the processing of seismic signals. However, as the exploration environment is becoming more and more complicated, the energy of valid signals is weaker and the signal to noise (SNR) of seismic data is much lower which bring great difficulty to seismic data processing and ...
Yu Sang, Xiaobin Pan, Chao Yan
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Infrared and visible image fusion using NSCT and GGD

SPIE Proceedings, 2011
In order to fuse the visible and infrared images captured in low visibility conditions, a method based on nonsubsampled contourlet transform (NSCT) and generalized Gaussian distribution (GGD) is proposed in this paper. The statistical character of the directional coefficients decomposed by NSCT meet the GGD.
Xiuqiong Zhang, Cuiyin Liu, Tao Men, Hongyin Qin, Mingrong Wang   +4 more
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Hybrid NSCT domain multiple watermarking for medical images

Multimedia Tools and Applications, 2016
Medical image watermarking is a challenging area of research. High bandwidth, secure transmission of patient's data among hospitals and hiding capacity are major concerns in medical image watermarking. Recently, wavelet transforms and their hybrid combinations have been widely used for this purpose. The conventional wavelet transforms suffer from shift
Siddharth Singh, Vivek Singh Rathore, Rajiv Singh   +2 more
openaire   +1 more source