Results 21 to 30 of about 762,837 (162)

X-ray Image Enhancement Based on Nonsubsampled Shearlet Transform and Gradient Domain Guided Filtering

Sensors, 2022
In this paper, we propose an image enhancement algorithm combining non-subsampled shearlet transform and gradient-domain guided filtering to address the problems of low resolution, noise amplification, missing details, and weak edge gradient retention in
Tao Zhao, Si-Xiang Zhang
doaj   +1 more source

Quaternionic shearlet transform [PDF]

Optik, 2018
Abstract The shearlet transform has been shown to be a valuable and powerful time–frequency analyzing tool for optics and non-stationary signal processing. In this article, we propose a novel transform called quaternionic shearlet transform which is designed to represent quaternion-valued signals at different scales, locations and orientations.
Firdous A. Shah, Azhar Y. Tantary
openaire   +1 more source

Noise reduction by adaptive-SIN filtering for retinal OCT images

Scientific Reports, 2021
Optical coherence tomography (OCT) images is widely used in ophthalmic examination, but their qualities are often affected by noises. Shearlet transform has shown its effectiveness in removing image noises because of its edge-preserving property and ...
Yan Hu, Jianfeng Ren, Jianlong Yang, Ruibing Bai, Jiang Liu   +4 more
doaj   +1 more source

Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain

Sensors, 2023
Multi-focus image fusion plays an important role in the application of computer vision. In the process of image fusion, there may be blurring and information loss, so it is our goal to obtain high-definition and information-rich fusion images.
Liangliang Li, Ming Lv, Zhenhong Jia, Hongbing Ma   +3 more
doaj   +1 more source

The shearlet transform and Lizorkin spaces [PDF]

, 2020
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Bartolucci, Francesca, Pilipović, Stevan, Teofanov, Nenad   +2 more
openaire   +3 more sources

Use of the shearlet energy entropy and of the support vector machine classifier to process weak microseismic and desert seismic signals

Comptes Rendus. Géoscience, 2020
Low-amplitude signal detection is a key procedure in borehole microseismic and desert seismic exploration. Usually, signals are difficult to detect due to their low amplitude and noise contamination.
Li, Yue, Fan, Shiyu, Zhang, Chao, Yang, Baojun   +3 more
doaj   +1 more source

Bendlet Transform Based Adaptive Denoising Method for Microsection Images

Entropy, 2022
Magnetic resonance imaging (MRI) plays an important role in disease diagnosis. The noise that appears in MRI images is commonly governed by a Rician distribution. The bendlets system is a second-order shearlet transform with bent elements.
Shuli Mei, Meng Liu, Aleksey Kudreyko, Piercarlo Cattani, Denis Baikov, Francesco Villecco   +5 more
doaj   +1 more source

Digital Shearlet Transforms [PDF]

, 2012
Over the past years, various representation systems which sparsely approximate functions governed by anisotropic features such as edges in images have been proposed. We exemplarily mention the systems of contourlets, curvelets, and shearlets. Alongside the theoretical development of these systems, algorithmic realizations of the associated transforms ...
Gitta Kutyniok, Wang-Q Lim, Xiaosheng Zhuang   +2 more
openaire   +3 more sources

Image fusion based on discrete Shearlet transform.

, 2023
Image fusion based on discrete Shearlet transform.
S. Abisha (15188270), A. M Mutawa (15188273), Saravanan Krishnan (3488609), Murugappan Murugappan (849001)   +3 more
core   +1 more source

Remote Sensing Image Denoising Based on Gaussian Curvature and Shearlet Transform

IEEE Access, 2023
Model-based image denoising methods are well suited for use as image processors in remote sensing systems such as satellites due to their well-developed mathematical theory and low computational cost, but these methods can often only deal with a single ...
Libo Cheng, Pengyu Chen
doaj   +1 more source