Due to the proliferation of biomedical imaging modalities, such as Photoacoustic
Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc …

The performance of fingerprint comparison algorithms depends on the reliability and
accuracy of the features extracted from the fingerprints. The accuracy of the feature …

This paper introduces a novel denoising approach making use of a deep convolutional
neural network to preserve image edges. The network is trained by using the edge map …

In this paper, a hybrid image denoising algorithm based on directional diffusion is proposed.
Specifically, we developed a new noise-removal model by combining the modified isotropic …

Purpose Health monitoring of concrete is one of the important tasks in the structural health
monitoring. The life of any infrastructure relies on the quality of the concrete. The computer …

Low-rank approximation-based methods have recently achieved impressive results in image
restoration. Generally, the low-rank constraint integrated with the nonlocal self-similarity …

Recently, numerous research works in retinal-structure analysis have been performed to
analyze retinal images for diagnosing and preventing ocular diseases such as diabetic …

This paper presents a de-noising method for speckle noise removal called de-speckling,
retinal optical coherence tomography image by combining the features of wavelet transform …

Recent advances in deep learning techniques and acoustic sensor networks offer a new
way for continuously monitoring birds. Deep learning methods have led to considerable …

Magnetic resonance images (MRIs) are sensitive to redundant Rician noise. The proposed
adaptive hexagonal fuzzy hybrid filtering technique adapts itself to remove Rician noise …