A Study of Types of Noise and De-Noising Techniques in Digital Image Processing

Authors

  • Suhas Govindrao Kulkarni Department of Computer Science Prin. K. P. Mangalvedhekar Institute of Management Career Development and Research Solapur, India
  • Rajivkumar Mente Department of Computer Application, School of Computational Science P.A.H. Solapur University Solapur, India

Keywords:

formatting, De-Noising, Filters

Abstract

Digital image processing is playing a key role in variety of application areas like medical image processing, pattern recognition, image restoration etc. Captured image quality may vary with factors like noise, light, temperature etc. Removing noise is one important step in image processing. Without knowing the types of noise and different noise removal techniques in digital image processing it is difficult to proceed further for any researcher. The objective of the paper is to study and represent conceptual study of various types of noise in brief. The study also aims to represent different noise removal techniques in a brief manner. Paper also provides a comparative study of few noise removal techniques.

References

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Umamaheswari. D, Dr. E. Karthikeyan “ Comparative Analysis Of Various Filtering Techniques In Image Processing”INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 8, ISSUE 09, SEPTEMBER 2019 ISSN 2277-8616

Mr.Mandar D. Sontakke1, Dr.Mrs.Meghana S. Kulkarni2 “DIFFERENT TYPES OF NOISES IN IMAGES AND NOISE REMOVING TECHNIQUE” International Journal of Advanced Technology in Engineering and Science www.ijates.com Volume No.03, Issue No. 01, January 2015 ISSN (online): 2348 – 7550

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Published

18-04-2022

How to Cite

Suhas Govindrao Kulkarni, & Rajivkumar Mente. (2022). A Study of Types of Noise and De-Noising Techniques in Digital Image Processing. International Journal for Research Publication and Seminar, 13(3), 52–55. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/525

Issue

Vol. 13 No. 3 (2022): Volume 13 | Issue 3 | 2022 (NSCIT)

Section

Original Research Article

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