A Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images [PDF]
, 2017 A fundus image is an effective tool for ophthalmologists studying eye diseases. Retinal vessel detection is a significant task in the identification of retinal disease regions.
Guo, Yanhui +7 more
core +1 more source
Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems
Mathematical Problems in Engineering, Volume 2024, Issue 1, 2024.In seismic data processing, data recovery including reconstruction of the missing trace and removal of noise from the recorded data are the key steps in improving the signal‐to‐noise ratio (SNR). The reconstruction of seismic data and removal of noise becomes a sparse optimization problem that can be solved by using sparse regularization.
Diriba Gemechu, Francisco Rossomando
wiley +1 more source
3D Discrete Shearlet Transform and Video Denoising
, 2014 This paper introduces a numerical implementation of the 3D shearlet transform, a directional transform which is derived from the theory of shearlets. The shearlet approach belongs to a class of directional multiscale methods emerged during the last 10 ...
Pooran Singh Negi, Demetrio Labate
core
Suppressing seismic random noise based on non-subsampled shearlet transform and improved FFDNet
Frontiers in Earth ScienceTraditional denoising methods often lose details or edges, such as Gaussian filtering. Shearlet transform is a multi-scale geometric analysis tool which has the advantages of multi-resolution and multi-directivity.
Hua Fan, Yang Zhang, Wenxu Wang, Tao Li
doaj +1 more source
PERFORMANCE EVALUATION OF IPE AND IE-AFFECTED PATIENTS USING A MODIFIED PSO AND ANFIS [PDF]
Journal of Mechanics of Continua and Mathematical SciencesEpilepsy, a complex neurological disorder, is particularly challenging to diagnose and manage when driven by genetic factors. This study focuses on the analysis of Idiopathic Partial Epilepsy (IPE) and Idiopathic Epilepsy (IE) in both children and ...
Kaliprasanna Swain +7 more
doaj +1 more source
TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain. [PDF]
Sensors (Basel), 2023 Zhang R, Wang Z, Sun H, Deng L, Zhu H.
europepmc +1 more source
A Novel Multi-Focus Image Fusion Method Using Shearlet Transform
, 2010 According to the different frequency areas decomposed by shearlet transform, the selection principles of the lowpass subbands and highpass subbands were discussed respectively.
Jia Zhao, Hui Sun, Li Lü
core +1 more source
Local Spatio-Temporal Representation Using the 3D Shearlet Transform (STSIP)
, 2017 In this work we address the problem of analyzing video sequences and of representing meaningful space-time points of interest by using the 3D shearlet transform.
D. Malafronte, F. Odone, E. De Vito
core +1 more source
High-Resolution Reflected Wave Extraction and Imaging Enhancement for Array Acoustic Logging
Cejing jishuArray acoustic logging reflected wave imaging is an important technology to detect the geological structure and characteristics around the wellbore, especially in the evaluation of fracture-vuggy carbonate rocks and unconventional heterogeneous reservoir.
YUE Wenzheng +3 more
doaj +1 more source
Shearlet-based intensity classification loop filter for video coding
, 2023 The new Versatile Video Coding standard (VVC) exhibits a significantly higher coding efficiency in comparison to its predecessor High Efficiency Video Coding (HEVC).
Detlev Marpe +11 more
core +1 more source