Sliced Ridgelet Transform for Image Denoising
Image denoising based on ridgelet transforms gives better result in image denoising than standard wavelet transforms. In this research work, the researcher introduces a new approach for image denoising that is based on ridgelets computed in a localized manner and that is computationally less intensive than curvelets, but similar donising performance ...
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Low light image enhancement using curvelet transform and iterative back projection. [PDF]
Kannoth S, H C SK, K B R.
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Multiscaled wavelet transforms, ridgelet transforms, and Radon transforms on the space of matrices
Let $M$ be the space of real $n\times m$ matrices which can be identified with the Euclidean space $R^{nm}$. We introduce continuous wavelet transforms on $M$ with a multivalued scaling parameter represented by a positive definite symmetric matrix. These transforms agree with the polar decomposition on $M$ and coincide with classical ones in the rank ...
Olafsson, G., Ournycheva, E., Rubin, B.
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Multi-modal image sharpening in fourier transform infrared (FTIR) microscopy. [PDF]
Mankar R +5 more
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Ridgelet Transforms of Functions in Banach lattices
We establish a reproducing formula for the ridgelet transform on $\mathbb{R}^n$ in the framework of Banach lattices introduced in a recent paper by Nieraeth. Our approach is based on the $k$-plane Radon transform and a wavelet-type reconstruction operator acting on functions defined on the Grassmannian of $k$-dimensional affine planes.
Izuki, Mitsuo +3 more
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A robust and secured fusion based hybrid medical image watermarking approach using RDWT-DWT-MSVD with Hyperchaotic system-Fibonacci Q Matrix encryption. [PDF]
Sajeer M, Mishra A.
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GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation. [PDF]
Sebastian A +3 more
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Improved ECG Watermarking Technique Using Curvelet Transform. [PDF]
Goyal LM +6 more
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Multimodality Medical Image Fusion Using Clustered Dictionary Learning in Non-Subsampled Shearlet Transform. [PDF]
Diwakar M +7 more
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