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Jongsu Yoon and Yoonsik Choe
Retinex theory represents the human visual system by showing the relative reflectance of an object under various illumination conditions. A feature of this human visual system is color constancy, and the Retinex theory is designed in consideration of thi...
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Di Guo, Zhangren Tu, Jiechao Wang, Min Xiao, Xiaofeng Du and Xiaobo Qu
Images may be corrupted by salt and pepper impulse noise during image acquisitions or transmissions. Although promising denoising performances have been recently obtained with sparse representations, how to restore high-quality images remains challenging...
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Alessandro Crivellari and Euro Beinat
The interest in human mobility analysis has increased with the rapid growth of positioning technology and motion tracking, leading to a variety of studies based on trajectory recordings. Mapping the routes that people commonly perform was revealed to be ...
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Sangkyun Lee and Jeonghyun Lee
Deep neural networks (DNNs) have been quite successful in solving many complex learning problems. However, DNNs tend to have a large number of learning parameters, leading to a large memory and computation requirement. In this paper, we propose a model c...
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Sierra Young, Joshua Peschel, Gopal Penny, Sally Thompson, Veena Srinivasan
Pág. 1 - 20
This article describes the field application of small, low-cost robots for remote surface data collection and an automated workflow to support water balance computations and hydrologic understanding where water availability data is sparse. Current elevat...
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