Fractional Multiscale Fusion-based De-hazing

08/29/2018
by   Uche A. Nnolim, et al.
0

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.

READ FULL TEXT
research
05/10/2019

Analysis of Probabilistic multi-scale fractional order fusion-based de-hazing algorithm

In this report, a de-hazing algorithm based on probability and multi-sca...
research
06/06/2022

HIFI-Net: A Novel Network for Enhancement to Underwater Images

A novel network for enhancement to underwater images is proposed in this...
research
05/28/2020

L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion

Images captured underwater often suffer from suboptimal illumination set...
research
05/04/2021

LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement

Underwater image enhancement is an important low-level computer vision t...
research
02/06/2023

A Correction-Based Dynamic Enhancement Framework towards Underwater Detection

To assist underwater object detection for better performance, image enha...
research
09/08/2023

Toward Sufficient Spatial-Frequency Interaction for Gradient-aware Underwater Image Enhancement

Underwater images suffer from complex and diverse degradation, which ine...
research
12/28/2017

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 im...

Please sign up or login with your details

Forgot password? Click here to reset