Visible-Infrared Image Fusion Based on Double- Density Wavelet and Thermal Exchange Optimization

Hao, Guo; Chen, Jingyu; Yang, Xuan; Jiao, Qingliang; Liu, Ming

doi:10.1109/iaeac50856.2021.9390665

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…Each agent's new temperature is determined by its new position in the search space. Since its proposed, it has received a little attention and been applied in some areas like constrained nonlinear optimization problem [303], image fusion problems [304], and so on.…”

Section: Physic-based Techniquementioning

confidence: 99%

Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing

2022

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Metaheuristic algorithm is a very important area of research that continuously improve in solving optimization problems. Nature-inspired is one of the classifications of metaheuristic algorithm that are becoming more popular among researchers for the last decades. Nature-inspired metaheuristic algorithms contributes significantly to tackling many standing complex problems (such as combinatorial tway testing problem) and achieving optimal results. One challenge in this area is combinatorial explosion problem which always intended to find the most optimal final test suite that will cover all combinations of a given interaction strength. As such, test case generation is selected as the most active research area in combinatorial t-way testing as Non-deterministic Polynomial-time hardness (NP-hard). However, not all metaheuristics are effectively adopted in combinatorial t-way testing, some proved to be effective and thus have been popular tools selected for optimization whilst others are not adopted. This research paper outlines hundred and ten (110) outstanding nature-inspired metaheuristic algorithms for the last decades (2001 and 2021) such as Coronavirus Optimization Algorithm, Ebola Optimization Algorithm, Harmony Search, Tiki-Taka Algorithm, and so on. The purpose of this review is to revisit and carry out up-to-date review on these distinguished algorithms with their respective current state of use. This is to inspire future research in the field of combinatorial t-way testing for better optimization. Thus, we found that all metaheuristics has a simple structure to be adopted in different areas for becoming a more efficient in optimization. Finally, we suggested some future paths of investigation for researchers who are interested in the combinatorial t-way testing field to employ more of these algorithms by tuning their parameters setting to achieve an optimal solution.

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Section: Physic-based Techniquementioning

confidence: 99%

Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing

2022

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“…Thermal Exchange Optimization (TEO) [37] is an intelligent optimization algorithm based on Newton's law of cooling, which has been applied to image segmentation [38], and image fusion [39]. In TEO, a number of agents are set, and then some of them are used as the object temperature and others as the environment temperature.…”

Section: Thermal Exchange Optimizationmentioning

confidence: 99%

Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization

Jiao

Liu

et al. 2021

JMSE

Self Cite

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The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact the quality of underwater images. In this paper, a novel underwater image restoration based on non-convex, non-smooth variation and thermal exchange optimization is proposed. Firstly, the underwater dark channel prior is used to estimate the rough transmission map. Secondly, the rough transmission map is refined by the proposed adaptive non-convex non-smooth variation. Then, Thermal Exchange Optimization is applied to compensate for the red channel of underwater images. Finally, the restored image can be estimated via the image formation model. The results show that the proposed algorithm can output high-quality images, according to qualitative and quantitative analysis.

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A short review on image fusion techniques based on optimization algorithms

Paramanandham,

Rajendiran,

Balaji

et al. 2024

AIP Conference Proceedings

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Visible-Infrared Image Fusion Based on Double- Density Wavelet and Thermal Exchange Optimization

Cited by 4 publications

References 6 publications

Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing

Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-Way Testing

Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization

A short review on image fusion techniques based on optimization algorithms

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