Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …

Species often adopt various camouflage strategies to be seamlessly blended into the
surroundings for self-protection. To figure out the concealment, predators have evolved …

This paper proposes a deep learning method for low-light image enhancement, which
exploits the generation capability of Neural Networks (NNs) while requiring no training …

Due to complex and volatile lighting environment, underwater imaging can be readily
impaired by light scattering, warping, and noises. To improve the visual quality, Underwater …

Low-light image enhancement is an important task in the domain of computer vision. Images
taken under insufficient lighting conditions manifest low visibility and unknown noises which …

Low-light image (LLI) enhancement techniques have recently demonstrated remarkable
progress especially with the use of deep learning approaches. However, most existing …

The multi-spectral image pairs composed of LIDAR and RGB images demonstrates more
effective detection performance in complex traffic environments, such as low illumination …

The goal of the project" Facial Metrics for EES" is to develop, implement and publish an
open source algorithm for the quality assessment of facial images (OFIQ) for face …

Given an image filter, defiltering refers to the problem of recovering an original image from
its filtered version, assuming that the internal structure of the filter is not known. In this paper …

In this paper, blind image quality assessment (IQA) of Gaussian blurred images based on
Discrete Fourier Transform (DFT) is proposed. The proposed work is based on the fact that if …