2022
DOI: 10.1007/s11042-022-13275-3
|View full text |Cite
|
Sign up to set email alerts
|

A fusion approach based on black hole algorithm and particle swarm optimization for image enhancement

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(2 citation statements)
references
References 60 publications
0
2
0
Order By: Relevance
“…Combining color stretching, histogram equalization, amplitude compression, and saturation maximization methods, some researchers used correction gamma values to achieve grayscale enhancement [2], [3], [4]. Combining galaxy swarm optimization and particle swarm optimization, researchers used the method of weighted features and Gaussian distribution to achieve adaptive histogram equalization and gamma correction [5], [6], [7], [8].…”
Section: Introductionmentioning
confidence: 99%
“…Combining color stretching, histogram equalization, amplitude compression, and saturation maximization methods, some researchers used correction gamma values to achieve grayscale enhancement [2], [3], [4]. Combining galaxy swarm optimization and particle swarm optimization, researchers used the method of weighted features and Gaussian distribution to achieve adaptive histogram equalization and gamma correction [5], [6], [7], [8].…”
Section: Introductionmentioning
confidence: 99%
“…There are many reasons for its failure. For example, the temperature is too high, the fuel supply is insufficient, or a series of problems are caused by the aging of mechanical parts and components, such as serious wear of piston rings and rupture of cylinder heads, and some phenomena are caused by the failure of various components in the automobile system or other aspects due to some uncertain factors in the engine, Thus, the working performance and reliability of the whole machine are reduced [1][2].…”
Section: Introductionmentioning
confidence: 99%