Skip to main content
SpringerLink
Log in

A Comparative Study on Different Genres of Image Restoration Techniques

  • Conference paper
  • First Online:
Advances in Communication, Devices and Networking

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 537))

Abstract

Numerous types of images are used as sources of information for investigation and elucidation. While a picture is going through conversion from one form to another such as scanning, transmitting, digitizing, and storing, it may get corrupted with unwanted signal called noise. Before applying any image processing tools to the image, it must go through a preprocessing phase to de-noise it. This paper highlights the diverse categories of noise that can possibly affect an image. The technique used to restore the image is largely influenced by the sort of noise affecting the image. All the available algorithms to do so have their pros and cons. A juxtaposition of these proposals has been done here.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. https://www.google.co.in/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=2ahUKEwjqjfCa-DdAhUJaI8KHY4DB6UQjRx6BAgBEAU&url=https%3A%2F%2Fwww.researchgate.net%2Ffigure%2FImage-03-with-Gaussian-noise-s-5_fig3_291043468&psig=AOvVaw2JU2KcbwyxXoczjILQ4LPG&ust=1536137213527988

    Google Scholar 

  2. http://www.fit.vutbr.cz/~vasicek/imagedb/img_corrupted/impnoise_005/108073.png

  3. https://homepages.inf.ed.ac.uk/rbf/HIPR2/images/fce5noi4.gif

  4. https://www.google.co.in/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uac=8&ved=2ahUKEwiX1LvFgKHdAhUQTo8KHWW1DMkQjRx6BAgBEAU&url=https%3A%2F%2Fwww.researchgate.net%2Ffigure%2FVisual-results-for-the-Barbara-image-with-JPEG-quantization-noise-Q-7_fig3_220320603&psig=AOvVaw2auKTt5fZpJC20RiwX7082&ust=1536138644050333

    Google Scholar 

  5. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTjA8FQQ36oYjEHr4TbwnhLo4rpR0Kf-qwP0sk0lmpEi1NNZ3bI

  6. Verma R, Ali J (2013) A Comparative study of various types of image noise and efficient noise removal techniques. IJARCSSE, (2277-128X) 3(10)

    Google Scholar 

  7. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR84YI5yGqy8yZkPcE-KQHxDNvhkTq9R5JVvCldlIX5CB6mXhcOHA

  8. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRlz4KKImcLE5QKNJTAsB0Umg1LURICLBVIBg-g8kFaMWFVMBax

  9. https://www.google.co.in/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=2ahUKEwiQlN3h-DdAhWMq48KHUcCAnsQjRx6BAgBEAU&url=https%3A%2F%2Fwww.giassa.net%2F%3Fpage_id%3D635&psig=AOvVaw2956XMBL6dsaOcTCZD0AEL&ust=1536137338290174

    Google Scholar 

  10. Mehan S, Singla N (2012) Introduction of image restoration using fuzzy filtering. IJARCSS (2277-128X) 2(3)

    Google Scholar 

  11. Mittal A, Goel V (2012) Removal of impulse noise using fuzzy techniques. IJAER (0973-4562) 7(11)

    Google Scholar 

  12. Ville DVD, Nachtegael M, Weken DV, Kerre EE, Philips W, Lamahieu I (2003) Noise reduction by using fuzzy image filtering. IEEE Trans Fuzzy Syst 11(4)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Majhitar, 737136, Sikkim, India

    Monica Singh, Sujala Pradhan, Md Ruhul Islam & N. Chitrapriya

Authors
  1. Monica Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sujala Pradhan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Md Ruhul Islam
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. N. Chitrapriya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. Chitrapriya .

Editor information

Editors and Affiliations

  1. Department of Electronic and Communication Engineering, Sikkim Manipal Institute of Technology, Rangpo, Sikkim, India

    Rabindranath Bera

  2. Department of Electrical and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India

    Subir Kumar Sarkar

  3. Department of Electronic and Communication Engineering, Sikkim Manipal University, Gangtok, Sikkim, India

    Om Prakash Singh

  4. Department of Electronic and Communication Engineering, Sikkim Manipal University, Gangtok, Sikkim, India

    Hemanta Saikia

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Singh, M., Pradhan, S., Islam, M.R., Chitrapriya, N. (2019). A Comparative Study on Different Genres of Image Restoration Techniques. In: Bera, R., Sarkar, S., Singh, O., Saikia, H. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 537. Springer, Singapore. https://doi.org/10.1007/978-981-13-3450-4_41

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3450-4_41

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3449-8

  • Online ISBN: 978-981-13-3450-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation