Image Quality Improvement in Historical Photos Using the Method Histogram Equalization and Intensity Adjusment
DOI:
https://doi.org/10.65230/jitcos.v2i1.113Keywords:
Image Processing, Histogram Equalization, Intensity Adjustment, Historical Photos, Image EnhancementAbstract
The development of digital technology has increased the importance of preserving historical photographs as visual archives with informational and cultural value. However, most historical photographs have poor image quality due to the limitations of camera technology in the past, such as low contrast, uneven lighting, faded colors, and dominant grayscale tones. These conditions make the information contained in the images difficult to recognize clearly. This study aims to improve the image quality of historical photographs using Histogram Equalization and Intensity Adjustment methods. Histogram Equalization is used to improve the distribution of pixel intensity so that image contrast increases, while Intensity Adjustment is applied to regulate brightness levels and image intensity ranges in order to make image details clearer. The research process consists of collecting historical photograph datasets, image preprocessing, implementing image enhancement methods using MATLAB, and evaluating the results based on visual image improvements. The results show that the combination of both methods successfully enhances the visual quality of historical photographs by producing sharper images, better contrast, and clearer object details compared to the original images. Therefore, Histogram Equalization and Intensity Adjustment methods can be used as solutions for restoration and preservation of digital historical photographs.
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Copyright (c) 2026 Muhammad Aris Widodo, M. Alfatoni Muarrip, Radhifan Mardhi, Rahma Doni (Author)
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