Color Filter

Color filters are used in various applications to selectively modify light's spectral composition, impacting image processing, data analysis, and colorimetry. Current research focuses on optimizing filter design for specific tasks, such as improving the accuracy of color measurements by manipulating light sources or developing region-specific filters for image retouching using models like RSFNet. These advancements are improving data selection for machine learning, enhancing automated processes like retail checkout, and enabling more precise analysis in fields like corrosion detection. The overall goal is to achieve more efficient and accurate results across diverse applications through tailored color filtering techniques.