Vol. 29 No. 3 (2026) Cover Image
Vol. 29 No. 3 (2026)

Published: September 20, 2026

Pages: 442-449

Articles

Encoding and Decoding of Noise Images after Enhancement

Ayat Ali Abd-Allah 1 Atheel Alkhayyat 2 Lara Mwafaq 2 Omer Abdulhaleem Naser 3
1 Department of Unmanned of Aerial Vehicle Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq
2 Department of Computer Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq
3 University of Information Technology and Communications, Baghdad, Iraq
History
  • Received: February 26, 2025
  • Revised: May 9, 2025
  • Accepted: October 6, 2025
  • Available Online: September 20, 2026
DOI

https://doi.org/10.29194/NJES.29030442

Abstract

This paper tests the effect of noise on digital images. Since Gaussian noise can affect almost all computer and communication systems and therefore can come from various natural sources, it was interesting to measure the effect of such noise on features of the image. To generate the noisy images, a few images were used with Gaussian noise, and a data set was applied to this purpose. The wide variety of noise parameters was measured using the same input image with different mean and variance values each time. Gaussian noise was then removed with enhancement filters. In all fields of online communication, multimedia systems, medical imaging, and military communications, digital images have important roles to play. Internet and cellular networks are storing and delivering colored images. A lot of data needs to be protected from unwanted access. In cryptography, messages are encoded to render them unintelligible. Security of data is always essential. There are different cryptographic algorithms for encrypting and decrypting images. Our purpose of this study is to encrypt and decrypt the images with the help of the Advanced Encryption Standard (AES) algorithm for authentication. This paper guarantees that after processing, the quality of the image is maintained and no corruption was occurred

Keywords

References

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