nach oben

Soft Computing

Erschienen in:

17.04.2019 | Methodologies and Application

Cuckoo search algorithm-based brightness preserving histogram scheme for low-contrast image enhancement

verfasst von: Ashish Kumar Bhandari, Shubham Maurya

Erschienen in: Soft Computing | Ausgabe 3/2020

Einloggen

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

search-config

KI-gestützte Suche

Aus

Abstract

This paper introduces a novel optimized brightness preserving histogram equalization approach to preserve the mean brightness and to improve the contrast of low-contrast image using cuckoo search algorithm. Traditional histogram equalization scheme induces extreme enhancement and brightness change ensuing abnormal appearance. The proposed method utilizes plateau limits to modify histogram of the image. In this method, histogram is divided into two sub-histograms on which histogram statistics are exploited to obtain the plateau limits. The sub-histograms are equalized and modified based on the calculated plateau limits obtained by cuckoo search optimization technique. To demonstrate the effectiveness of proposed method a comparison of the proposed method with different histogram processing techniques is presented. Proposed method outperforms other state-of-art methods in terms of the objective as well as subjective quality evaluation.

Vorheriger Artikel Semi-supervised orthogonal discriminant analysis with relative distance : integration with a MOO approach

Nächster Artikel Correlation coefficients for T-spherical fuzzy sets and their applications in clustering and multi-attribute decision making

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 "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

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

Arici T, Dikbas S, Altunbasak Y (2009) A histogram modification framework and its application for image contrast enhancement. IEEE Trans Image Process 18(9):1921–1935MathSciNetCrossRef

Bhandari AK, Kumar A, Padhy PK (2011) Enhancement of low contrast satellite images using discrete cosine transform and singular value decomposition. World Acad Sci Eng Technol 79:35–41

Bhandari AK, Singh VK, Kumar A, Singh GK (2014a) Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy. Expert Syst Appl 41(7):3538–3560CrossRef

Bhandari AK, Soni V, Kumar A, Singh GK (2014b) Artificial bee colony-based satellite image contrast and brightness enhancement technique using DWT-SVD. Int J Remote Sens 35(5):1601–1624CrossRef

Bhandari AK, Soni V, Kumar A, Singh GK (2014c) Cuckoo search algorithm based satellite image contrast and brightness enhancement using DWT–SVD. ISA Trans 53(4):1286–1296CrossRef

Bhandari AK, Kumar A, Singh GK (2015a) Improved knee transfer function and gamma correction based method for contrast and brightness enhancement of satellite image. AEU Int J Electron Commun 69(2):579–589CrossRef

Bhandari AK, Kumar A, Singh GK (2015b) Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms. Expert Syst Appl 42(22):8707–8730CrossRef

Bhandari AK, Kumar A, Singh GK (2015c) Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur’s, Otsu and Tsallis functions. Expert Syst Appl 42(3):1573–1601CrossRef

Bhandari AK, Kumar A, Chaudhary S, Singh GK (2016a) A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms. Expert Syst Appl 63:112–133CrossRef

Bhandari AK, Kumar A, Singh GK, Soni V (2016b) Dark satellite image enhancement using knee transfer function and gamma correction based on DWT–SVD. Multidimens Syst Signal Process 27(2):453–476CrossRef

Bhandari AK, Kumar A, Chaudhary S, Singh GK (2017) A new beta differential evolution algorithm for edge preserved colored satellite image enhancement. Multidimens Syst Signal Process 28(2):495–527CrossRef

Canny J (1987). A computational approach to edge detection. In: readings in computer vision (pp. 184–203)

Celik T, Tjahjadi T (2012) Automatic image equalization and contrast enhancement using Gaussian mixture modeling. IEEE Trans Image Process 21(1):145–156MathSciNetCrossRef

Chang YC, Chang CM (2010) A simple histogram modification scheme for contrast enhancement. IEEE Trans Consum Electron 56(2):737–742CrossRef

Chen J, Yu W, Tian J, Chen L, Zhou Z (2018) Image contrast enhancement using an artificial bee colony algorithm. Swarm Evolut Comput 38:287–294CrossRef

Cui Z, Sun B, Wang G, Xue Y, Chen J (2017) A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber–physical systems. J Parallel Distrib Comput 103:42–52CrossRef

Derrac J, García S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evolut Comput 1(1):3–18CrossRef

Dhar S, Kundu MK (2018) A novel method for image thresholding using interval type-2 fuzzy set and Bat algorithm. Appl Soft Comput 63:154–166CrossRef

Draa A, Bouaziz A (2014) An artificial bee colony algorithm for image contrast enhancement. Swarm Evolut Comput 16:69–84CrossRef

Eramian, M., Mould, D. (2005, May). Histogram equalization using neighborhood metrics. In : IEEE Computer and robot vision, 2005 proceedings. the 2nd Canadian conference on, pp 397–404

Feng YANHONG, Wang GG (2018) Binary moth search algorithm for discounted 0-1 knapsack problem. IEEE Access 6:10708–10719CrossRef

Gonzalez RC, Woods RE, Eddins SL (2009) Digital image processing using MATLAB. Gatesmark Publishing, USA

Gu K, Zhai G, Yang X, Zhang W, Chen CW (2015) Automatic contrast enhancement technology with saliency preservation. IEEE Trans Circuits Syst Video Technol 25(9):1480–1494CrossRef

Hashemi S, Kiani S, Noroozi N, Moghaddam ME (2010) An image contrast enhancement method based on genetic algorithm. Pattern Recogn Lett 31(13):1816–1824CrossRef

Image Processing Place (http://www.imageprocessingplace.com/root_files_V3/image_databases.htm)

Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1):108–132MathSciNetMATH

Kim YT (1997) Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans Consum Electron 43(1):1–8CrossRef

Kim M, Chung MG (2008) Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement. IEEE Trans Consum Electron 54(3):1389–1397CrossRef

kodak lossless true color image suite (http://r0k.us/graphics/kodak/)

Lim SH, Isa NAM, Ooi CH, Toh KKV (2015) A new histogram equalization method for digital image enhancement and brightness preservation. SIViP 9(3):675–689CrossRef

Mahapatra PK, Ganguli S, Kumar A (2015) A hybrid particle swarm optimization and artificial immune system algorithm for image enhancement. Soft Comput 19(8):2101–2109CrossRef

Mishra S, Panda M (2018) Bat algorithm for multilevel colour image segmentation using entropy-based thresholding. Arab J Sci Eng 43:1–30CrossRef

NASA Earth Observatory (http://earthobservatory.nasa.gov/)

Ooi CH, Isa NAM (2010a) Quadrants dynamic histogram equalization for contrast enhancement. IEEE Trans Consum Electron 56(4):2552–2559CrossRef

Ooi CH, Isa NAM (2010b) Adaptive contrast enhancement methods with brightness preserving. IEEE Trans Consum Electron 56(4):2543–2551CrossRef

Ooi CH, Kong NSP, Ibrahim H (2009) Bi-histogram equalization with a plateau limit for digital image enhancement. IEEE Trans Consum Electron 55(4):2072–2080CrossRef

Pare S, Bhandari AK, Kumar A, Singh GK (2017) An optimal color image multilevel thresholding technique using grey-level co-occurrence matrix. Expert Syst Appl 87:335–362CrossRef

Rizk-Allah RM, El-Sehiemy RA, Wang GG (2018) A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution. Appl Soft Comput 63:206–222CrossRef

Santhi K, Banu RW (2015) Adaptive contrast enhancement using modified histogram equalization. Optik Int J Light Electron Opt 126(19):1809–1814CrossRef

Wang GG, Tan Y (2017) Improving metaheuristic algorithms with information feedback models. IEEE Trans Cybern 99:1–14

Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612CrossRef

Wang GG, Deb S, Zhao XJ (2015) Monarch butterfly optimization. Neural Comput Appl. https://doi.org/10.1007/s00521-015-1923-y CrossRef

Wang GG, Deb S, Gandomi AH, Alavi AH (2016a) Opposition-based krill herd algorithm with Cauchy mutation and position clamping. Neurocomputing 177:147–157CrossRef

Wang GG, Gandomi AH, Yang XS, Alavi AH (2016b) A new hybrid method based on krill herd and cuckoo search for global optimisation tasks. Int J BioInsp Comput 8(5):286–299

Wang GG, Cai X, Cui Z, Min G, Chen J (2017) High performance computing for cyber physical social systems by using evolutionary multi-objective optimization algorithm. IEEE Trans Emerg Topics Comput

Yang XS (2010). A new metaheuristic bat-inspired algorithm. In: Nature inspired cooperative strategies for optimization (NICSO 2010) (pp 65–74). Springer, Berlin, Heidelberg

Yang, X. S., Deb, S. (2009, December). Cuckoo search via Lévy flights. In: IEEE Nature and biologically inspired computing, 2009. NaBIC 2009. World Congress on (pp 210–214)

Titel: Cuckoo search algorithm-based brightness preserving histogram scheme for low-contrast image enhancement
verfasst von: Ashish Kumar Bhandari
Shubham Maurya
Publikationsdatum: 17.04.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 3/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-019-03992-7

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 3/2020

A decentralized multi-authority ciphertext-policy attribute-based encryption with mediated obfuscation

A modeling error-based adaptive fuzzy observer approach with input saturation analysis for robust control of affine and non-affine systems

Data sharing using proxy re-encryption based on DNA computing

Stabilization of a class of nonlinear control systems via a neural network scheme with convergence analysis

An effective quality analysis of XML web data using hybrid clustering and classification approach

Products and services valuation through unsolicited information from social media

Premium Partner