Advances and Applications in Discrete Mathematics

The Advances and Applications in Discrete Mathematics is a prestigious peer-reviewed journal indexed in the Emerging Sources Citation Index (ESCI). It is dedicated to publishing original research articles in the field of discrete mathematics and combinatorics, including topics such as graphs, coding theory, and block design. The journal emphasizes efficient and powerful tools for real-world applications and welcomes expository articles that highlight current developments in the field.

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CONTRAST ENHANCEMENT OF DARK IMAGES BASED ON CLUSTER ENHANCEMENT

Authors

  • Nguyen Tu Trung

Keywords:

image enhancement, dark images, dark object, cluster, clustering

DOI:

https://doi.org/10.17654/0974165826007

Abstract

An important area of picture processing that raises the caliber of images is image enhancement. Three categories are used to classify picture enhancing techniques. These consist of the optimal technique, fuzzy logic approach, and histogram method. Research on picture enhancement frequently follows the following rules: anything is brighter if it is bright; it is darker if it is dark; and a worldwide strategy is employed. Therefore, enhancing dark items is difficult. The picture enhancement based on dark object and cluster enhancement algorithm is a novel approach to improving dark images that is presented in this research. This approach employs a cluster based on a sub-algorithm for picture enhancement and an operator to enhance dark objects. The suggested algorithm outperforms certain contemporary techniques, according to the experimental data.

Received: September 21, 2025
Revised: October 2, 2025
Accepted: November 28, 2025

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Published

2026-01-02

Issue

Vol. 43 No. 1 (2026)

Section

Articles

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How to Cite

CONTRAST ENHANCEMENT OF DARK IMAGES BASED ON CLUSTER ENHANCEMENT. (2026). Advances and Applications in Discrete Mathematics, 43(1), 97-117. https://doi.org/10.17654/0974165826007

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