Color Cast Correction Mechanisms: Techniques and Innovations for Image Enhancement

*Nadia Garg

*Ravi Jain

Raksha Sharma

*Research Scholar, Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, India

Assistant Professor, Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, India

Abstract:

This paper presents an in-depth examination of color cast in digital images, elucidating its fundamental principles, generation mechanisms, and real-world implications influenced by light absorption and scattering. The study explores diverse color cast correction methods and provides a detailed analysis of their respective outcomes. Foundational knowledge of color cast, rooted in the principles of light interaction, serves as the basis for understanding its manifestation in various real-world contexts. The research systematically investigates the intricate dynamics of color cast across diverse scenarios, shedding light on its complexities and impact. The paper evaluates a range of color cast correction techniques, including classic approaches such as the Gray World Algorithm, Max–RGB, and White Balance Correction, as well as advanced methods like Gamma Correction, Histogram-Based Method, and the Gray Edge Algorithm. Notably, simulation results underscore the consistent superiority of the Gray Edge Algorithm in effectively correcting color cast, showcasing its robustness across diverse scenarios. This comprehensive exploration contributes to a holistic understanding of color cast, covering its generation, consequences in real-world scenarios, and an in-depth analysis of correction methodologies. The findings provide valuable insights for professionals in image processing and computer vision seeking efficient correction strategies.

Keywords: Color cast, Image processing, Color correction, Light interaction, Real-world scenarios.

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