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Found 5 papers, 1 papers with code
Multiscale Sparsifying Transform Learning for Image Denoising
The data-driven sparse methods such as synthesis dictionary learning (e. g., K-SVD) and sparsifying transform learning have been proven effective in image denoising.
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
With ubiquity of social media platforms, millions of people are sharing their online persona by expressing their thoughts, moods, emotions, feelings, and even their daily struggles with mental health issues voluntarily and publicly on social media.
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks
In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution.
Iranian cashes recognition using mobile
In economical societies of today, using cash is an inseparable aspect of human life.
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