20.500.12556/DKUM-92430 Optimizing digital image quality for improved skin cancer detection The rising incidence of skin cancer, particularly melanoma, underscores the need for improved diagnostic tools in dermatology. Accurate imaging plays a crucial role in early detection, yet challenges related to color accuracy, image distortion, and resolution persist, leading to diagnostic errors. This study addresses these issues by evaluating color reproduction accuracy across various imaging devices and lighting conditions. Using a ColorChecker test chart, color deviations were measured through Euclidean distances (∆E*, ∆C*), and nonlinear color differences (∆E00, ∆C00), while the color rendering index (CRI) and television lighting consistency index (TLCI) were used to evaluate the influence of light sources on image accuracy. Significant color discrepancies were identified among mobile phones, DSLRs, and mirrorless cameras, with inadequate dermatoscope lighting systems contributing to further inaccuracies. We demonstrate practical applications, including manual camera adjustments, grayscale reference cards, post-processing techniques, and optimized lighting conditions, to improve color accuracy. This study provides applicable solutions for enhancing color accuracy in dermatological imaging, emphasizing the need for standardized calibration techniques and imaging protocols to improve diagnostic reliability, support AI-assisted skin cancer detection, and contribute to high-quality image databases for clinical and automated analysis. dermoscopy melanoma color analysis color error spectral power distribution grey card digital imaging standards dermoskopija melanom analiza barv digitalne slike true false true MDPI Angleški jezik Slovenski jezik https://www.mdpi.com/journal/jimaging © 2025 by the authors Članek v reviji 2025-04-08 12:18:26 2025-04-08 12:18:27 2026-01-22 13:56:37 0000-00-00 00:00:00 2025 0 0 22 str. iss. 4 [article no.] 107 Vol. 11 March 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-02-13 2025-03-27 2025-03-31 616.5 231166467 10.3390/jimaging11040107 2313-433X jimaging-11-00107.pdf jimaging-11-00107.pdf 1 6791B3139AE8684BB9B7864061DF5ED0 38ff41173e1bd62ccf8d744857d827ab55aa8e50be92317977623632ffc94425 20bad6fc-1463-11f0-b4ef-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=190100 https://www.mdpi.com/2313-433X/11/4/107 0 c8f3955b-f791-11f0-a060-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202413 Fakulteta za elektrotehniko, računalništvo in informatiko Medicinska fakulteta Pedagoška fakulteta Fakulteta za naravoslovje in matematiko 0 0 0