Image Deblurring Techniques – A Detail Review

Authors

  • Mariya M. Sada  Computer Engineering Department, Government Engineering College, Modasa, Gujarat, India
  • Mahesh M. Goyani  Computer Engineering Department, Government Engineering College, Modasa, Gujarat, India

Keywords:

Blur Types, Survey, Deblurring, Blur Detection, Blur Classification

Abstract

Images are nowadays an integral part of our lives, whether in scientific applications or social networking and where there is an image, the concept of blurring might occur. Blurring is a major cause of image degradation and decreases the quality of an image. Blur occur due to the atmospheric commotion as well as the improper setting of a camera. Along with blur effects, noise also corrupts the captured image. Deblurring is the process of removing blurs and restoring the high-quality latent image. Blur can be various types like Motion blur, Gaussian blur, Average blur, Defocus blur etc. There are many methods present in literature, and we examine different methods and technologies with their advantages and disadvantages.

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Published

2018-01-20

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Section

Research Articles

How to Cite

[1]
Mariya M. Sada, Mahesh M. Goyani, " Image Deblurring Techniques – A Detail Review, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.176-188, January-February-2018.