Ground-based image analysis: A tutorial on machine-learning techniques and applications
Ground-based whole-sky cameras have opened up new opportunities for monitoring the
earth's atmosphere. These cameras are an important complement to satellite images by …
earth's atmosphere. These cameras are an important complement to satellite images by …
[HTML][HTML] DsTer: A dense spectral transformer for remote sensing spectral super-resolution
To obtain high-resolution hyperspectral data, spectral super-resolution is a popular
computational imaging technique directly from high-resolution multispectral images. Besides …
computational imaging technique directly from high-resolution multispectral images. Besides …
[PDF][PDF] Noise issues prevailing in various types of medical images
B Goyal, S Agrawal, BS Sohi - Biomedical & Pharmacology Journal, 2018 - academia.edu
The current literature documents a plethora of image denoising techniques in the fields of
medical imaging, remote sensing, biometrics, surveillance and vegetation mapping …
medical imaging, remote sensing, biometrics, surveillance and vegetation mapping …
Optimal sub-band adaptive thresholding based edge preserved satellite image denoising using adaptive differential evolution algorithm
An image is often corrupted by different kinds of noise during its acquisition and
transmission. Conventional denoising methods can suppress the Gaussian noise effectively …
transmission. Conventional denoising methods can suppress the Gaussian noise effectively …
Image edge detection based tool condition monitoring with morphological component analysis
X Yu, X Lin, Y Dai, K Zhu - ISA transactions, 2017 - Elsevier
The measurement and monitoring of tool condition are keys to the product precision in the
automated manufacturing. To meet the need, this study proposes a novel tool wear …
automated manufacturing. To meet the need, this study proposes a novel tool wear …
Image denoising via sparse representation over grouped dictionaries with adaptive atom size
L Jia, S Song, L Yao, H Li, Q Zhang, Y Bai, Z Gui - IEEE Access, 2017 - ieeexplore.ieee.org
The classic K-SVD based sparse representation denoising algorithm trains the dictionary
only with one fixed atom size for the whole image, which is limited in accurately describing …
only with one fixed atom size for the whole image, which is limited in accurately describing …
Sparse representation based pansharpening with details injection model
H Yin - Signal Processing, 2015 - Elsevier
Sparse representation based pansharpening attracts a lot of interests, which formulates the
pansharpening as a compressive sensing reconstruction problem. In this paper, a new …
pansharpening as a compressive sensing reconstruction problem. In this paper, a new …
Noise in digital image processing: A review study
RA Al Mudhafar, NK El Abbadi - 2022 3rd Information …, 2022 - ieeexplore.ieee.org
We are awash with images. The quality of an image is greatly impacted by image noise,
making it difficult to extract, analyze, recognize, and make quantitative measurements of …
making it difficult to extract, analyze, recognize, and make quantitative measurements of …
基于数学形态学的数字全息再现像融合方法
潘锋， 闫贝贝， 肖文， 刘烁， 李艳 - 中国光学(中英文), 2015 - chineseoptics.net.cn
针对数字全息中不同再现距离获得的携带不同聚焦信息的再现像, 提出了一种基于数学形态学的
多聚焦再现像融合方法, 以有效扩展成像景深. 首先通过小波-Controulet 变换获得源图像的高频 …
多聚焦再现像融合方法, 以有效扩展成像景深. 首先通过小波-Controulet 变换获得源图像的高频 …
Machine learning techniques and applications for ground-based image analysis
Ground-based whole sky cameras have opened up new opportunities for monitoring the
earth's atmosphere. These cameras are an important complement to satellite images by …
earth's atmosphere. These cameras are an important complement to satellite images by …