While the simplicity of the proposed method is advantageous for intuitive understanding and implementation, it may also pose certain limitations and attract criticisms:
Accuracy Concerns: The simplified nature of the equations may not capture all nuances present in complex perceptual processes. Critics might argue that a more detailed model incorporating additional factors like surface properties or light sources would provide more accurate results.
Generalizability: The coefficients derived from this method may not universally apply to all individuals or cultural groups due to variations in perceptual experiences. Critics might question whether a one-size-fits-all approach is appropriate for diverse populations.
Complex Scenarios: In real-world scenarios with intricate lighting conditions or multiple interacting elements, the simplistic nature of the formulas may struggle to account for all variables accurately.
Inverse Problem Challenges: While focusing on forward modeling simplifies computations, critics might point out challenges when attempting to derive inverse functions necessary for actual image processing tasks.