Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Changzhong Zou"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9497-9508 (2022)
Spectral reconstruction from RGB images has made significant progress. Previous works usually utilized the noise-free RGB images as input to reconstruct the corresponding hyperspectral images (HSIs). However, due to instrumental limitation or atmosph
Externí odkaz:
https://doaj.org/article/eb6b281da82f4d8eb05f65f4c6871e69
Publikováno v:
Neurocomputing. 492:50-61
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Autor:
Minghui Wei, Changzhong Zou
Publikováno v:
Neurocomputing. 464:342-351
Spectral reconstruction is an important task in the field of computer vision with growing attraction and scope of applications. This task aims to generate hyperspectral images (HSIs) with the same spatial resolution by improving the spectral resoluti
Autor:
Miaodi Su, Hongzhi Ding, Shaohong Weng, Changzhong Zou, Zhonghua Zhou, Yilu Chen, Jianli Chen, Yao-Wen Chang
Publikováno v:
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Autor:
Changzhong Zou, Can Zhang
Publikováno v:
Signal Processing: Image Communication. 110:116884
Publikováno v:
Optik. 188:172-186
Much research has been devoted to the problem of low-dose computerized tomography (CT) image reconstruction with a scan protocol by both lowering the X-ray tube current (low-mAs) and reducing the total number of projection views(sparse view). However
Autor:
Changzhong Zou, Xusheng Huang
Publikováno v:
Journal of Electronic Imaging. 29
We propose a method for hyperspectral image (HSI) super-resolution by designing a tensor singular value decomposition (t-SVD) and three-dimensional total variation (3D-TV) regularization terms. The super-resolution method is designed as an optimizati
Autor:
Youshen Xia, Changzhong Zou
Publikováno v:
Signal Processing: Image Communication. 60:29-41
This paper develops a Bayesian dictionary learning method for hyperspectral image super resolution in the presence of mixed Poisson–Gaussian noise. A likelihood function is first designed to deal with the mixed Poisson–Gaussian noise. A fusion op
Autor:
Changzhong Zou, Youshen Xia
Publikováno v:
Neurocomputing. 275:430-437
Restoring Poissonian images is particularly considered due to astronomical and medical applications in recent years. In this paper, we propose a novel noise removal method for restoration of hyperspectral images corrupted by Poisson noise, based on s