Spatiotemporal image fusion in remote sensing

M Belgiu, A Stein - Remote sensing, 2019 - mdpi.com
In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These
methods fuse temporally sparse fine-resolution images with temporally dense coarse …

Intelligent visual surveillance—a survey

IS Kim, HS Choi, KM Yi, JY Choi, SG Kong - International Journal of …, 2010 - Springer
Detection, tracking, and understanding of moving objects of interest in dynamic scenes have
been active research areas in computer vision over the past decades. Intelligent visual …

Naturalness preserved enhancement algorithm for non-uniform illumination images

S Wang, J Zheng, HM Hu, B Li - IEEE transactions on image …, 2013 - ieeexplore.ieee.org
Image enhancement plays an important role in image processing and analysis. Among
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …

An experimental-based review of image enhancement and image restoration methods for underwater imaging

Y Wang, W Song, G Fortino, LZ Qi, W Zhang… - IEEE …, 2019 - ieeexplore.ieee.org
Underwater images play a key role in ocean exploration but often suffer from severe quality
degradation due to light absorption and scattering in water medium. Although major …

Automatic contrast-limited adaptive histogram equalization with dual gamma correction

Y Chang, C Jung, P Ke, H Song, J Hwang - Ieee Access, 2018 - ieeexplore.ieee.org
We propose automatic contrast-limited adaptive histogram equalization (CLAHE) for image
contrast enhancement. We automatically set the clip point for CLAHE based on textureness …

A histogram modification framework and its application for image contrast enhancement

T Arici, S Dikbas, Y Altunbasak - IEEE Transactions on image …, 2009 - ieeexplore.ieee.org
A general framework based on histogram equalization for image contrast enhancement is
presented. In this framework, contrast enhancement is posed as an optimization problem …

Image enhancement for tuberculosis detection using deep learning

K Munadi, K Muchtar, N Maulina, B Pradhan - IEEE Access, 2020 - ieeexplore.ieee.org
The latest World Health Organization's (WHO) study on 2018 is showing that about 1.5
million people died and around 10 million people are infected with tuberculosis (TB) each …

Comprehensive underwater object tracking benchmark dataset and underwater image enhancement with GAN

K Panetta, L Kezebou, V Oludare… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Current state-of-the-art object tracking methods have largely benefited from the public
availability of numerous benchmark datasets. However, the focus has been on open-air …

Transform coefficient histogram-based image enhancement algorithms using contrast entropy

SS Agaian, B Silver, KA Panetta - IEEE transactions on image …, 2007 - ieeexplore.ieee.org
Many applications of histograms for the purposes of image processing are well known.
However, applying this process to the transform domain by way of a transform coefficient …

Multimodal medical image sensor fusion framework using cascade of wavelet and contourlet transform domains

V Bhateja, H Patel, A Krishn, A Sahu… - IEEE Sensors …, 2015 - ieeexplore.ieee.org
Multimodal medical image fusion is effectuated to minimize the redundancy while
augmenting the necessary information from the input images acquired using different …