Edge Sharpness Evaluation via Statistical Analysis of Grayscale Variations Along Edge Normal Direction

This algorithm evaluates image clarity by statistically analyzing grayscale variations along the edge normal direction. Sharper grayscale transitions correspond to clearer edges and higher overall image definition. Implementation involves pixel-wise gradient calculation and directional intensity profiling for quantitative edge assessment.