IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i10p2364-d1150778.html
   My bibliography  Save this article

Performance Augmentation of Cuckoo Search Optimization Technique Using Vector Quantization in Image Compression

Author

Listed:
  • Aditya Bakshi

    (Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal 576104, Karnataka, India)

  • Akhil Gupta

    (School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144411, Punjab, India)

  • Sudeep Tanwar

    (Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India)

  • Gulshan Sharma

    (Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Pitshou N. Bokoro

    (Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa)

  • Fayez Alqahtani

    (Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh 12372, Saudi Arabia)

  • Amr Tolba

    (Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia)

  • Maria Simona Raboaca

    (Doctoral School, University Politehnica of Bucharest, Splaiul Independentei Street, No. 313, 060042 Bucharest, Romania
    National Research and Development Institute for Cryogenic and Isotopic Technologies—ICSI Rm. Vâlcea, Uzinei Street, No. 4, P.O. Box 7 Râureni, 240050 Râmnicu Vâlcea, Romania)

Abstract

For constructing the best local codebook for image compression, there are many Vector Quantization (VQ) procedures, but the simplest VQ procedure is the Linde–Buzo–Gray (LBG) procedure. Techniques such as the Gaussian Dissemination Function (GDF) are used for the searching process in generating a global codebook for particle swarm optimization (PSO), Honeybee mating optimization (HBMO), and Firefly (FA) procedures. However, when particle velocity is very high, FA encounters a problem when brighter fireflies are trivial, and PSO suffers uncertainty in merging. A novel procedure, Cuckoo Search–Kekre Fast Codebook Generation (CS-KFCG), is proposed that enhances Cuckoo Search–Linde–Buzo–Gray (CS-LBG) codebook by implementing a Flight Dissemination Function (FDF), which produces more speed than other states of the art algorithms with appropriate mutation expectations for the overall codebook. Also, CS-KFGC has generated a high Peak Signal Noise Ratio (PSNR) in terms of high duration (time) and better acceptability rate.

Suggested Citation

  • Aditya Bakshi & Akhil Gupta & Sudeep Tanwar & Gulshan Sharma & Pitshou N. Bokoro & Fayez Alqahtani & Amr Tolba & Maria Simona Raboaca, 2023. "Performance Augmentation of Cuckoo Search Optimization Technique Using Vector Quantization in Image Compression," Mathematics, MDPI, vol. 11(10), pages 1-19, May.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2364-:d:1150778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/10/2364/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/10/2364/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2364-:d:1150778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.