Results 141 to 150 of about 711 (171)

A Modified Feature Based Image Watermarking Scheme in NSCT Domain

2009 Fifth International Conference on Information Assurance and Security, 2009
In this article, we present a modified robust image watermarking scheme based on the scale-invariant feature transform (SIFT). The watermark is embedded into some local regions extracted from the original image. During embedding, the initial region is divided into some cirque sub-regions with the same area, and each watermark bit is embedded into one ...
Liu Yang, Baolong Guo, Jianmin Lv
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Enhancement Method for Aviation Image Based on Improved NSCT

2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC), 2020
A new enhancement method for aviation images is proposed, which combines improved nonsubsampled contourlet transform (NSCT) with guided filtering together. The original image is decomposed into a low pass sub-band and several high pass sub-bands. To improve the color contrast ratio of the image and remove the noise, fuzzy set theory is adopted to ...
Juan Li, Ting Zhou, Wei-Xing Wang, Zhao Zhang   +3 more
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Image Fusion Method Based on NSCT and Adaptive Sparse Representation

2020 The 4th International Conference on Video and Image Processing, 2020
ABSTRACT: Aiming at the imaging characteristics of multispectral and panchromatic image and the problem that the traditional image fusion methods cannot take into account the spectral quality and spatial resolution of the image at the same time, a novel fusion method based on the Non-subsampled Contourlet Transform (NSCT) domain and adaptive sparse ...
Zhangyu Dong, Xin Wei, Mengyang Wang
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Underwater polarization image fusion based on NSCT

Journal of Electronic Imaging, 2023
Qingqing Liu, Siyu Wang, Shuai Xu, Mingjiang Liu, Nan Wu, Mei Ming   +5 more
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Multi-sensor Image Fusion Algorithm Based on NSCT and PCNN

2010 International Conference on Computational Aspects of Social Networks, 2010
An important branch of information fusion of multi-sensor image fusion technology has become one of the hot researches. In order to better realize, this paper presents a new algorithm which is based on NSCT and PCNN fusion. First, the image is decomposed using NSCT, and then select the integration algorithm using PCNN coefficient, resulting in higher ...
Chen Yao, Kang Lei
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Forensics of image blurring and sharpening history based on NSCT domain

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, 2014
Detection of multi-manipulated image has always been a more realistic direction for digital image forensic technologies, which extremely attracts interests of researchers. However, mutual affects of manipulations make it difficult to identify the process using existing single-manipulated detection methods. In this paper, a novel algorithm for detecting
Yahui Liu, Yao Zhao 0001, Rongrong Ni
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NSCT-based fusion enhancement for multispectral finger-vein images

SPIE Proceedings, 2014
Personal identification based on single-spectral finger-vein image has been widely investigated recently. However, in finger-vein imaging, finger-vein image degradation is the main factor causing lower recognition accuracy. So, to improve the finger-vein image quality, in this paper, multispectral finger-vein images (760nm and 850nm) are fused together
Dongdong Wu, Jinfeng Yang
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Infrared and visible images fusion based on RPCA and NSCT

Infrared Physics & Technology, 2016
Abstract Current infrared and visible images fusion algorithms cannot efficiently extract the object information in the infrared image while retaining the background information in visible image. To address this issue, we propose a new infrared and visible image fusion algorithm by taking advantage of robust principal component analysis (RPCA) and ...
Zhizhong Fu, Xue Wang, Jin Xu, Ning Zhou, Yufei Zhao   +4 more
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A New Infrared and Visible Image Fusion Algorithm in NSCT Domain

2017
Infrared and visible image fusion can produce a composite image which has high contrast and rich background details of the scene. In view of the defects of some existing infrared and visible fusion method, such as low contrast and unclear background details, we propose a novel multi-scale fusion method based on the combination of non-sampled contourlet
Xiaochun Wang, Lijun Yao, Ruixia Song, Huiyang Xie   +3 more
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Multi-Scale GAN with NSCT Prediction for Seismic Data Denoising

International Journal of Pattern Recognition and Artificial Intelligence
In this paper, we focus on denoising seismic signals effectively to obtain high-quality data, which is crucially important for oil-gas reservoir prediction and seismic interpretation tasks. The rapid progress of deep learning has brought new development opportunities to seismic oil and gas exploration technologies. However, current deep learning-based
Cong Tang, Kang Chen, Bing Luo, Qi Ran, Majia Zheng, Han Xiao   +5 more
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