Advances and Applications in Discrete Mathematics

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A NEW METHOD OF CONTRAST ENHANCEMENT OF DARK IMAGES BASED ON GAN NET

Authors

  • Nguyen Tu Trung

Keywords:

dark images, picture enhancement, dark objects, P2PT, GAN

DOI:

https://doi.org/10.17654/0974165825052

Abstract

Image enhancement is a very significant topic for improving the image quality. There are 3 common image enhancement approaches. They include: fuzzy logic, histogram and optimal methods. Research on picture enhancement frequently follows the following rules: if a picture is dark, it is dark; if it is bright, it is brighter; and a global approach is used. Therefore, enhancing dark items is difficult. Currently, there are many new proposals with many new approaches in which, there is an approach based on deep learning. A novel approach to improve the dark photographs is proposed in this paper. The algorithm is called the image enhancement based on picture to picture translation model (P2PT) and GAN net. Accordingly, the image is enhanced by passing through a P2PT network to generate new images. This network consists of 3 main blocks: map generator net, down sample net and up sample net. These network parameters are learned based on the optimization through the GAN, whose corresponding generator network is a variant of the I2IT network mentioned above. It is evident from the experimental results that the paper’s approach outperforms certain more modern techniques.

Received: September 24, 2025
Accepted: October 13, 2025

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Published

2025-11-01

Issue

Vol. 42 No. 8 (2025)

Section

Articles

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How to Cite

A NEW METHOD OF CONTRAST ENHANCEMENT OF DARK IMAGES BASED ON GAN NET. (2025). Advances and Applications in Discrete Mathematics, 42(8), 811-832. https://doi.org/10.17654/0974165825052

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