Transmission Optical Coating Optimization for Low Ghost Visibility

The patent applies parameter changes by introducing a colorimetric evaluation method that transforms the optimization criteria for anti-reflective coatings. Instead of using conventional reflectance metrics alone, the system calculates a colorimetric parameter based on CIE color coordinates (C, h°, Rv) that specifically evaluates ghost image visibility. This parameter change enables predictive optimization of coating properties to minimize ghost images before manufacturing, resolving the contradiction between reducing harmful ghost images and achieving reliable predictive avoidance.

The patent implements feedback through an iterative optimization process. The system calculates the colorimetric parameter for ghost image visibility, compares it against target values, and adjusts the anti-reflective coating properties accordingly. This feedback loop continues until the ghost image visibility is minimized, providing a systematic approach that transforms the unreliable conventional method into a reliable predictive optimization process.

The patent simplifies the complex multi-parameter optimization problem by transforming it into a single colorimetric parameter optimization. By defining a comprehensive colorimetric parameter that encapsulates ghost image visibility characteristics (based on CIE color coordinates), the system reduces the complexity of optimizing multiple coating properties while still achieving minimal ghost image visibility.

The patent uses composite evaluation by combining multiple optical properties (reflectance, transmittance, absorption) and colorimetric characteristics into a single composite colorimetric parameter. This composite approach allows the system to evaluate and optimize the combined effect of multiple anti-reflective coatings without managing each parameter separately, thereby reducing optimization complexity while maintaining effectiveness.