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Kun Yu, Yufeng Cheng, Longfei Li, Kaihua Zhang, Yanlei Liu and Yufang Liu
Underwater image restoration is a challenging problem because light is attenuated by absorption and scattering in water, which can degrade the underwater image. To restore the underwater image and improve its contrast and color saturation, a novel algori...
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Xiangdong Sun, Lijun Lu, Li Qi, Yingjie Mei, Xiaoyun Liu and Wufan Chen
Electrical properties provide essential information for cancer detection and specific absorption rate (SAR) estimation. Magnetic resonance electrical properties tomography (MREPT) is an approach to retrieve the distribution of electrical properties. The ...
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Laura Antonelli, Valentina De Simone and Daniela di Serafino
We present a total-variation-regularized image segmentation model that uses local regularization parameters to take into account spatial image information. We propose some techniques for defining those parameters, based on the cartoon-texture decompositi...
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Yuan Zhang and Liyi Zhang
In computed tomography (CT), artifacts due to patient rigid motion often significantly degrade image quality. This paper suggests a method based on iterative blind deconvolution to eliminate motion artifacts. The proposed method alternately reconstructs ...
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Fan Lin, Yingpin Chen, Yuqun Chen and Fei Yu
Image deblurring under the background of impulse noise is a typically ill-posed inverse problem which attracted great attention in the fields of image processing and computer vision. The fast total variation deconvolution (FTVd) algorithm proved to be an...
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Wei Zhu, Xu Chang, Yibo Wang, Hongyu Zhai and Zhenxing Yao
The knowledge of hydraulic fracture morphology is significant for the analysis of fracture mechanisms. This paper utilizes passive Ultrasonic Travel-time Tomography (UTT) to characterize the hydraulic fracture. We constructed a velocity model based on X-...
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Lingzhi Wang, Yingpin Chen, Fan Lin, Yuqun Chen, Fei Yu and Zongfu Cai
Models based on total variation (TV) regularization are proven to be effective in removing random noise. However, the serious staircase effect also exists in the denoised images. In this study, two-dimensional total variation with overlapping group spars...
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M. Joseph Hughes, S. Douglas Kaylor and Daniel J. Hayes
In the species-rich and structurally complex forests of the Eastern United States, disturbance events are often partial and therefore difficult to detect using remote sensing methods. Here we present a set of new algorithms, collectively called Vegetatio...
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