Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Neural Processing Letters
Erschienen in: Neural Processing Letters 6/2022

28.04.2022

Color Image Enhancement: A Metaheuristic Chimp Optimization Algorithm

verfasst von: Nating Du, Qifang Luo, Yanlian Du, Yongquan Zhou

Erschienen in: Neural Processing Letters | Ausgabe 6/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The traditional incomplete Beta function has low parameter selection efficiency in image enhancement, and the adjustable range of parameters is small when stretching the area with low or high gray level, and the image enhancement with stretching at both ends and compression in the middle is almost ineffective. Therefore, an image enhancement method based on bilateral gamma correction and incomplete Beta function fusion is proposed. In this method, meta-heuristic chimp optimization algorithm is used to adaptively select the parameter values of the incomplete Beta function, bilateral gamma correction is used to further enhance the image contrast. In order to verify the effectiveness and feasibility of this method, 12 color images with contrast distortion and 15 contrast methods were selected. The experimental results show that our proposed method has good enhancement effect in avoiding over enhancement and mixing complex images with multiple attributes, and retains more image details. The color images enhancement effects are significantly better than other contrasted popular image enhancement methods.
Vorheriger Artikel Implicit Relation Inference with Deep Path Extraction for Commonsense Question Answering
Nächster Artikel Classification of Blood Cells Using Optimized Capsule Networks

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Yu X (2014) Blurred trace infrared image segmentation based on template approach and immune factor. Infrared Phys Technol 67:116–120CrossRef
2.
Zhang W, Wang X, You W, Chen J, Dai P, Zhang P (2019) Resls: region and edge synergetic level set framework for image segmentation. IEEE Trans Image Process 29:57–71MathSciNetCrossRefMATH
3.
Wu XF, Hu SG, Zhao J, Li ZM, Li J, Tang ZJ (2014) Comparative analysis of different methods for image enhancement. J Cent South Univ 21(12):4563–4570CrossRef
4.
Cao L, Li H, Zhang Y (2019) Retinal image enhancement using low-pass filtering and α-rooting. Signal Process 170:107445CrossRef
5.
Yang CC (2009) Image enhancement by the modified high-pass filtering approach. Optik 120(17):886–889CrossRef
6.
Pullagura R, Valasani US, Kesari PP (2021) Hybrid wavelet-based aerial image enhancement using georectification and homomorphic filtering. Arab J Geosci 14(13):1–13CrossRef
7.
Mayathevar K, Veluchamy M, Subramani B (2020) Fuzzy color histogram equalization with weighted distribution for image enhancement. Optik 216(1):164927CrossRef
8.
Gangolli SH, Fonseca A, Onkusare RS (2019) Image enhancement using various histogram equalization techniques. In: 2019 Global Conference for Advancement in Technology (GCAT)
9.
Wang P, Wang Z, Lv D, Zhang C, Wang Y (2021) Low illumination color image enhancement based on gabor filtering and retinex theory. Multimed Tools and Appl 80:17705–17719CrossRef
10.
Parihar AS, Singh K (2018) A study on Retinex based method for image enhancement. In: 2018 2nd International Conference on Inventive Systems and Control (ICISC). IEEE
11.
Huang Z, Fang H, Li Q, Li Z, Zhang T, Nong S et al (2018) Optical remote sensing image enhancement with weak structure preservation via spatially adaptive gamma correction. Infrared Phys Technol 94:38–47CrossRef
12.
Sengupta D, Biswas A, Gupta P (2021) Non-linear weight adjustment in adaptive gamma correction for image contrast enhancement. Multimed Tools Appl 80:3835–3862CrossRef
13.
Kim Y-T (1997) Contrast enhancement using brightness preserving. IEEE Trans Consum Electron 43(1):1–8CrossRef
14.
Pizer SM, Amburn EP, Austin JD, Cromartie RC, Geselowitz A, Greer T et al (1987) Adaptive histogram equalization and its variations. Comput Vis Graph Image Process 39(3):355–368CrossRef
15.
Zuiderveld K (1994) Contrast limited adaptive histogram equalization. Graphics gems. Elsevier, Amsterdam, pp 474–485CrossRef
16.
Chen HO, Kong N, Ibrahim H (2009) Bi-histogram equalization with a plateau limit for digital image enhancement. IEEE Trans Consum Electron 55(4):2072–2080CrossRef
17.
Jobson DJ, Rahman ZU, Woodell GA (1997) Properties and performance of a center/surround retinex. IEEE Trans Image Process 6(3):451–462CrossRef
18.
Rahman Z, Jobson DJ, Woodell GA (1996) Multiscale retinex for color image enhancement. In: Proceedings of 3rd IEEE international conference on image processing, pp 1003–1006
19.
Xiao Yu, Zijie Z (2020) Infrared image extraction algorithm based on adaptive growth immune field. Neural Process Lett 51:2575–2587CrossRef
20.
Tubbs JD (1987) A note on parametric image enhancement. Pattern Recogn 20(6):617–621CrossRef
21.
Ma Lik R, Dhir R, Mittal SK (2019) Remote sensing and landsat image enhancement using multiobjective pso based local detail enhancement. J Ambient Intell Hum Comput 10(9):3563–3571CrossRef
22.
Farshi TR, Drake JH, Zcan E (2020) A multimodal particle swarm optimization-based approach for image segmentation. Expert Syst Appl 149:113233CrossRef
23.
Acharya UK, Kumar S (2021) Genetic algorithm based adaptive histogram equalization (gaahe) technique for medical image enhancement. Optik 230(3):166273CrossRef
24.
Surya Prabha D, Satheesh KJ (2017) An efficient image contrast enhancement algorithm using genetic algorithm and fuzzy intensification operator. Wirel Pers Commun 93:223–244CrossRef
25.
Roy M, Chakraborty S, Mali K, Chatterjee S, Banerjee S, Chakraborty A et al (2017) Biomedical image enhancement based on modified Cuckoo Search and morphology. In: Industrial automation & electromechanical engineering conference. IEEE, pp230–235
26.
Dhal KG, Das S (2018) A dynamically adapted and weighted bat algorithm in image enhancement domain. Evol Syst 10(2):1–19MATH
27.
Asokan A, Popescu DE, Anitha J, Hemanth DJ (2020) Bat algorithm based non-linear contrast stretching for satellite image enhancement. Geosciences (Switzerland) 10(2):78
28.
Guraksin GE, Kose U, Deperlioglu O (2016) Underwater image enhancement based on contrast adjustment via differential evolution algorithm. In: 2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA). IEEE
29.
Ye Z, Wang F, Kochan R (2020) Image Enhancement based on Whale Optimization Algorithm. In: 2020 IEEE 15th international conference on advanced trends in radioelectronics, telecommunications and computer engineering (TCSET). pp 838–841
30.
Shi ZB (2013) Fitness function design for optimization algorithm in image enhancement. Electron Opt Control 20(05):49–52
31.
Rani S, Kumar M (2014) Contrast enhancement using improved adaptive gamma correction with weighting distribution technique. Int J Comput Appl 101(11):47–53
32.
Hu Y, Li T, Huang L, Li Y (2019) Brightness preserving image enhancement method based on bilateral gamma correction. Comput Appl Softw 36(05):204–210
33.
Khishe M, Mosavi MR (2020) Chimp optimization algorithm. Expert Syst Appl 149:113–338CrossRef
34.
Bhandari AK, Maurya S (2019) Cuckoo search algorithm-based brightness preserving histogram scheme for low-contrast image enhancement. Soft Comput 24:1619–1645CrossRef
35.
Bhandari AK, Kandhway P, Maurya S (2020) Salp swarm algorithm-based optimally weighted histogram framework for image enhancement. IEEE Trans Instrum Meas 99:1
36.
37.
Katirciolu F, Cngz Z (2020) A novel gray image enhancement using the regional similarity transformation function and dragonfly algorithm. El-Cezeri Fen ve Mühendislik Dergisi. 7(3):1201–1219
38.
Xue H (2021) Low light image enhancement based on modified Retinex optimized by fractional order gradient descent with momentum RBF neural network. Multimed Tools Appl 80:19057–19077CrossRef
39.
Tsai CM (2013) Adaptive local power-law transformation for color image enhancement. Appl Math Inf Sci 7(5):2019–2026MathSciNetCrossRef
40.
41.
Mirjalili S (2015) Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Knowl-Based Syst 89:228–249CrossRef
42.
Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67CrossRef
Metadaten
Titel
Color Image Enhancement: A Metaheuristic Chimp Optimization Algorithm
verfasst von
Nating Du
Qifang Luo
Yanlian Du
Yongquan Zhou
Publikationsdatum
28.04.2022
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 6/2022
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-022-10832-7

Weitere Artikel der Ausgabe 6/2022

Neural Processing Letters 6/2022 Zur Ausgabe

OriginalPaper

Observer-based Adaptive Funnel Dynamic Surface Control for Nonlinear Systems with Unknown Control Coefficients and Hysteresis Input

OriginalPaper

A Hybrid Optimized Deep Learning Framework to Enhance Question Answering System

OriginalPaper

A Novel Data Augmentation Method for Chinese Character Spatial Structure Recognition by Normalized Deformable Convolutional Networks

OriginalPaper

FuseNet: 3D Object Detection Network with Fused Information for Lidar Point Clouds

OriginalPaper

Passivity-based Bipartite Synchronization of Coupled Delayed Inertial Neural Networks via Non-reduced Order Method

OriginalPaper

Weakly Supervised Object Detection Based on Active Learning

Neuer Inhalt

    Bildnachweise