Image Enhancement Techniques for Digital Images

Year : 2025 | Volume : 03 | Issue : 01 | Page : 14 18
    By

    Ambresh Patel,

  • Abhinav Shukla,

  • Hemant Rajoriya,

  1. Assistant Professor, Department of Computer Science and engineering Sri Satya Sai College of Engineering, Bhopal, India
  2. Assistant Professor, Department of Computer Science and engineering Sri Satya Sai College of Engineering, Bhopal, India
  3. Assistant Professor, Department of Computer Science and engineering Sri Satya Sai College of Engineering, Bhopal, India

Abstract

In image processing, image enhancement is a challenging problem. Image enhancement aims to process an image in a way that makes the final product better suited for a particular application than the original. There are numerous ways to improve the quality of images using digital image enhancement techniques. It is crucial to use these techniques correctly. Image enhancement is a critical aspect of image processing, focusing on improving the visual quality of an image to make it more suitable for
specific applications. This is achieved through various techniques that enhance features such as contrast, sharpness, and detail, while reducing noise or blurring. The primary goal is to transform an image into a format that is better suited for interpretation, analysis, or presentation. The numerous methods frequently employed for image enhancement are compiled and examined in this document. Applications for image processing include image enhancement as a key component. Image enhancement has been the subject of a great deal of recent research. Numerous methods for enhancing digital photos have been put forth. The results of a study on different image enhancement methods are presented in this research work.

Keywords: Image enhancement, Digital image processing, Components, Inferred image, CNN

[This article belongs to International Journal of Radio Frequency Innovations ]

How to cite this article:
Ambresh Patel, Abhinav Shukla, Hemant Rajoriya. Image Enhancement Techniques for Digital Images. International Journal of Radio Frequency Innovations. 2025; 03(01):14-18.
How to cite this URL:
Ambresh Patel, Abhinav Shukla, Hemant Rajoriya. Image Enhancement Techniques for Digital Images. International Journal of Radio Frequency Innovations. 2025; 03(01):14-18. Available from: https://journals.stmjournals.com/ijrfi/article=2025/view=206580


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 05/03/2025
Accepted 29/03/2025
Published 07/04/2025
Publication Time 33 Days
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