Suppressing seismic random noise based on non-subsampled shearlet transform and improved FFDNet
Traditional 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
A Rigid Image Registration Based on the Nonsubsampled Contourlet Transform and Genetic Algorithms
Image registration is a fundamental task used in image processing to match two or more images taken at different times, from different sensors or from different viewpoints.
Nasreddine Taleb +2 more
doaj +1 more source
Digital multimedia elements such as text, image, audio, and video can be easily manipulated because of the rapid rise of multimedia technology, making data protection a prime concern.
Mahbuba Begum +6 more
doaj +1 more source
Noise and blurring in light microscope images are representative factors that affect accurate identification of cellular and subcellular structures in biological research.
Kyuseok Kim, Ji-Youn Kim
doaj +1 more source
A multimodal fusion method for Alzheimer's disease based on DCT convolutional sparse representation. [PDF]
Zhang G +6 more
europepmc +1 more source
An Image Fusion Method of SAR and Multispectral Images Based on Non-Subsampled Shearlet Transform and Activity Measure. [PDF]
Huang D, Tang Y, Wang Q.
europepmc +1 more source
Multimodal medical image fusion in NSST domain with structural and spectral features enhancement. [PDF]
Khan SU +5 more
europepmc +1 more source
A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. [PDF]
Arian R +4 more
europepmc +1 more source
Multimodality Medical Image Fusion Using Clustered Dictionary Learning in Non-Subsampled Shearlet Transform. [PDF]
Diwakar M +7 more
europepmc +1 more source
An Improved Multimodal Medical Image Fusion Approach Using Intuitionistic Fuzzy Set and Intuitionistic Fuzzy Cross-Correlation. [PDF]
Haribabu M, Guruviah V.
europepmc +1 more source

