Polarimetric imaging through scattering media: A review
Imaging in scattering media has been a challenging and important subject in optical
science. In scattering media, the image quality is often severely degraded by the scattering …
science. In scattering media, the image quality is often severely degraded by the scattering …
A comprehensive review on analysis and implementation of recent image dehazing methods
SC Agrawal, AS Jalal - Archives of Computational Methods in Engineering, 2022 - Springer
Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
Image dehazing via enhancement, restoration, and fusion: A survey
Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …
troubles both human observers and computer vision systems. To seek high-quality images …
A novel multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
The increasing demand for image dehazing-based applications has raised the value of
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives …
A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria …
Given the rapid development of dehazing image algorithms, selecting the optimal algorithm
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …
A lane tracking method based on progressive probabilistic Hough transform
Lane departure warning systems have gained considerable research interest in the past
decade for its promising usage in automotive, where lane detection and tracking is applied …
decade for its promising usage in automotive, where lane detection and tracking is applied …
Haze removal for single image: A comprehensive review
F Guo, J Yang, Z Liu, J Tang - Neurocomputing, 2023 - Elsevier
Image dehazing is always a hot topic in the field of computer vision since haze has
significant impact on the imaging quality of camera. Therefore, many image dehazing …
significant impact on the imaging quality of camera. Therefore, many image dehazing …
Single image defogging using deep learning techniques: past, present and future
Image dehazing play a vital role in several applications related to computer vision. The
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
An adaptive method for image restoration based on high-order total variation and inverse gradient
The total variation (TV) regularization model for image restoration is widely utilized due to its
edge preservation properties. Despite its advantages, the TV regularization can obtain …
edge preservation properties. Despite its advantages, the TV regularization can obtain …