3 research outputs found
Fractional Multiscale Fusion-based De-hazing
This report presents the results of a proposed multi-scale fusion-based
single image de-hazing algorithm, which can also be used for underwater image
enhancement. Furthermore, the algorithm was designed for very fast operation
and minimal run-time. The proposed scheme is the faster than existing
algorithms for both de-hazing and underwater image enhancement and amenable to
digital hardware implementation. Results indicate mostly consistent and good
results for both categories of images when compared with other algorithms from
the literature.Comment: 23 pages, 13 figures, 2 table
Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm
In this report, a de-hazing algorithm based on probability and multi-scale
fractional order-based fusion is proposed. The proposed scheme improves on a
previously implemented multiscale fraction order-based fusion by augmenting its
local contrast and edge sharpening features. It also brightens de-hazed images,
while avoiding sky region over-enhancement. The results of the proposed
algorithm are analyzed and compared with existing methods from the literature
and indicate better performance in most cases.Comment: 22 pages, 8 figures, journal preprin
Sky detection and log illumination refinement for PDE-based hazy image contrast enhancement
This report presents the results of a sky detection technique used to improve
the performance of a previously developed partial differential equation
(PDE)-based hazy image enhancement algorithm. Additionally, a proposed
alternative method utilizes a function for log illumination refinement to
improve de-hazing results while avoiding over-enhancement of sky or homogeneous
regions. The algorithms were tested with several benchmark and calibration
images and compared with several standard algorithms from the literature.
Results indicate that the algorithms yield mostly consistent results and
surpasses several of the other algorithms in terms of colour and contrast
enhancement in addition to improved edge visibility.Comment: 22 pages, 13 figures, 5 table