Color Transformations of Video Endoscopic Images

The paper considers the main procedures of digital processing of endoscopic images aimed at increasing their diagnostic value. It is shown that the existing approaches, solving private problems, lead to the general inconsistency of color transformations in the endoscopic video system. A new multi-objective quality criterion for the synthesis of color transformations, taking into account both the accuracy of color reproduction and the transmission of local color contrast, is proposed. Exemplary methodologies for target-specific color transformation synthesis are developed and validated, addressing critical challenges in endoscopic image enhancement. Experimental results underscore the efficacy of the approach in maintaining color integrity while significantly amplifying the diagnostic value through enhanced contrast articulation. The proposed algorithms were evaluated on diverse datasets of endoscopic images, demonstrating a substantial improvement in local contrast and image clarity compared to existing techniques. The virtual chromoendoscopy method achieved a balance between natural color representation and enhanced diagnostic features, while the bimodal visualization approach optimized the integration of fluorescence and white-light imaging. These results contribute to the evolution of visualization and perceptually optimized imaging solutions, marking a substantial advancement in medical image processing. The study establishes a robust foundation for the development of context-aware imaging methodologies in modern medical systems.