Performance Evaluation of Dominant Brightness Level Based Image Enhancement


  • Mahajan G Dept. of Computer Science and engineering, SIET, Amritsar, (Punjab) India
  • Arora A Dept. of Computer Science and engineering, SIET, Amritsar, (Punjab) India


Image enhancement, human visual perception, DBLA, CLAHE, HSV


This paper has concentrated on the distinctive image enhancement methods. Image enhancement has discovered a standout amongst the most imperative vision applications as it has capability to improve the quality of the digital images. Quality of the poor pictures is improved by this. Various methodologies have been proposed so far for enhancing the nature of the digital pictures. To upgrade picture quality image enhancement can particularly enhance and limit some information introduced in the input image. It is a sort of vision framework which diminishes picture commotion, kill antiquities, and keep up the useful parts. Its aim is to open up certain picture attributes for examination, conclusion and further utilization. The main aim of this paper is to assess the effectiveness of the DBLA over different image enhancement strategies.


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How to Cite

Mahajan, G., & Arora, A. (2024). Performance Evaluation of Dominant Brightness Level Based Image Enhancement. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(11), 1276–1281. Retrieved from



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