№1, 2026
QUALITATIVE ANALYSIS OF MEDICAL IMAGE COLORIZATION WITH THE REALISTIC COLOR PALETTE ADJUSTMENT
sazizova111542@ada.edu.az, stmammadova16214@ada.edu.az, jhasanov@ada.edu.az, saliyeva14249@ada.edu.az;
Historically, radiological images have been predominantly represented in grayscale, largely due to hardware constraints and the intrinsic characteristics of the imaging process. As a result, physical parameters are typically mapped to a single-channel intensity representation, which has become the standard format for both academic analysis and publication. In this paper, we examine image colorization methods and techniques aimed at enriching radiological imagery with additional information beyond organ texture alone. The proposed methodology not only applies existing colorization approaches, but also systematically investigates color palettes that may be semantically meaningful for the target medical domain. To develop realistic and domain-relevant color palettes, we analyze color distributions in various medical images derived from surgical content. The outcomes of colorization using different palettes are qualitatively evaluated with respect to their impact on image segmentation. The developed visualization software and experimental code are publicly available at: https://github.com/ADA-CompVision/ImageColorization.git (pp.23-31).
Keywords: Colorization, Radiology, Medical imaging, Diagnosis Segmentation
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