Research progress of visual inspection technology of steel products—a review

X Sun, J Gu, S Tang, J Li - Applied Sciences, 2018 - mdpi.com
The automation and intellectualization of the manufacturing processes in the iron and steel
industry needs the strong support of inspection technologies, which play an important role in …

Image denoising review: From classical to state-of-the-art approaches

B Goyal, A Dogra, S Agrawal, BS Sohi, A Sharma - Information fusion, 2020 - Elsevier
At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Fast discrete curvelet transforms

E Candes, L Demanet, D Donoho, L Ying - multiscale modeling & simulation, 2006 - SIAM
This paper describes two digital implementations of a new mathematical transform, namely,
the second generation curvelet transform in two and three dimensions. The first digital …

[图书][B] Image processing and analysis: variational, PDE, wavelet, and stochastic methods

TF Chan, J Shen - 2005 - SIAM
No time in human history has ever witnessed such explosive influence and impact of image
processing on modern society, sciences, and technologies. From nanotechnologies …

The curvelet transform

J Ma, G Plonka - IEEE signal processing magazine, 2010 - ieeexplore.ieee.org
Multiresolution methods are deeply related to image processing, biological and computer
vision, and scientific computing. The curvelet transform is a multiscale directional transform …

[PDF][PDF] A review of curvelets and recent applications

J Ma, G Plonka - IEEE Signal Processing Magazine, 2010 - num.math.uni-goettingen.de
Multiresolution methods are deeply related to image processing, biological and computer
vision, scientific computing, etc. The curvelet transform is a multiscale directional transform …

[图书][B] Sparse image and signal processing: Wavelets and related geometric multiscale analysis

JL Starck, F Murtagh, J Fadili - 2015 - books.google.com
This thoroughly updated new edition presents state of the art sparse and multiscale image
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …

[图书][B] Remote sensing image analysis: including the spatial domain

SM De Jong, FD Van der Meer - 2007 - books.google.com
Remote Sensing image analysis is mostly done using only spectral information on a pixel by
pixel basis. Information captured in neighbouring cells, or information about patterns …

Beamlet transform‐based technique for pavement crack detection and classification

L Ying, E Salari - Computer‐Aided Civil and Infrastructure …, 2010 - Wiley Online Library
This article presents a Beamlet transform‐based approach to automatically detect and
classify pavement cracks in digital images. The proposed method uses a pavement distress …