Encoding and Decoding of Noise Images after Enhancement

Authors

  • Ayat Ali Abd-Allah Department of Unmanned of Aerial Vehicle Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq
  • Atheel Nowfal Alkhayyat Department of Computer Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq
  • Lara Mwafaq Department of Computer Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq
  • Omer Abdulhaleem Naser University of Information Technology and Communications, Baghdad, Iraq

DOI:

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

Keywords:

Encryption, Decryption, AES, Noise, Image, Gaussian

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

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References

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Published

20-09-2026

How to Cite

[1]
A. Ali Abd-Allah, A. Alkhayyat, L. Mwafaq, and O. Abdulhaleem Naser, “Encoding and Decoding of Noise Images after Enhancement”, NJES, vol. 29, no. 3, pp. 442–449, Sep. 2026, doi: 10.29194/NJES.29030442.

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