نتایج جستجو برای: nsst

تعداد نتایج: 63  

2010
Tim S Olds Carol A Maher Kate Ridley Daniella M Kittel

BACKGROUND Much attention has been paid to adolescents' screen time, however very few studies have examined non-screen sedentary time (NSST). This study aimed to (1) describe the magnitude and composition of screen sedentary time (SST) and NSST in Australian adolescents, (2) describe the socio-demographic correlates of SST and NSST, and (3) determine whether screen time is an adequate surrogate...

2011
Rajeev Alur Jyotirmoy V. Deshmukh

We introduce nondeterministic streaming string transducers (NSSTs) { a new computational model that can implement MSO-definable relations between strings. An NSST makes a single left-to-right pass on the input string and uses a finite set of string variables to compute the output. In each step, it reads one input symbol, and updates its string variables in parallel with a copyless assignment.We...

2016
WANG Xin MENG Jian LIU Fu

In order to solve storage and computation cost problems for the traditional whole sampling image fusion algorithms, a new method of infrared and visible light image fusion is put forward based on compressed sensing (CS) theory. Nonsubsampled shearlet transform (NSST) is introduced as the sparse transform. Compressed sensing is applied to fuse the high frequency subbands decomposed by NSST. The ...

Journal: :EURASIP J. Image and Video Processing 2018
Nikou Farhangi Sedigheh Ghofrani

Synthetic aperture radar (SAR) images are inherently degraded by multiplicative speckle noise where thresholdingbased methods in the transform domain are appropriate. Being sparse, the coefficients in the transformed domain play a key role in the performance of any thresholding methods. It has been shown that the coefficients of nonsubsampled shearlet transform (NSST) are sparser than those of ...

2014
Cheng Wan Yiquan Wu

In this paper, we use non-subsampled shearlet transform (NSST) and Krawtchouk Moment Invariants (KMI) to realize image retrieval based on texture and shape features. Shearlet is a new sparse representation tool of multidimensional function, which provides a simple and efficient mathematical framework. We decompose the images by NSST. The directional subband coefficients are modeled by Generaliz...

2016
XING Xiaoxue LI Jie FAN Qinyin

In order to obtain rapid fusion speed, an image fusion algorithm based on Nonsubsampled Shearlet Transform (NSST) and Compressed Sensing (CS) is presented. The source images are decomposed with NSST. Based on local area energy, the low-frequency coefficients are fused. The high-frequency coefficients are compressed, fused and reconstructed with CS. Based on global gradient, the measurements of ...

A.A. Molavi Choobini

Recent experiments on the spherical tokamak have discovered the conditions to create a powerful plasma and ensure easy shaping and amplification of stability, high bootstrap current and confinement energy. The spherical tours (ST) fusion energy development path is complementary to the tokamak burning plasma experiment such as NSTX and higher toroidal beta regimes and improves the design of a po...

Journal: :Remote Sensing 2022

In order to combine the spectral information of multispectral (MS) image and spatial panchromatic (PAN) image, a pan-sharpening method based on ?-divergence Non-negative Matrix Factorization (NMF) in Non-Subsampled Shearlet Transform (NSST) domain is proposed. Firstly, we improve traditional contrast calculation build weighted local measure (WLCM) method. Each band MS fused by WLCM-based adapti...

2017
Chenhui Qiu Yuanyuan Wang Huan Zhang Shunren Xia

Multimodal image fusion techniques can integrate the information from different medical images to get an informative image that is more suitable for joint diagnosis, preoperative planning, intraoperative guidance, and interventional treatment. Fusing images of CT and different MR modalities are studied in this paper. Firstly, the CT and MR images are both transformed to nonsubsampled shearlet t...

2015
Saeed Jafari Sedigheh Ghofrani M. Sheikhan

Synthetic Aperture Radar (SAR) images suffer of multiplicative speckle noise, which damages the radiometric resolution of SAR images and makes the data interpretation difficult. Bayesian shrinkage in a transformed domain is a well-known method based on finding threshold value to suppress the speckle noise. This paper present a new approach to obtain the optimum threshold values for Bayesian shr...

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