Calculation Methods for Edge Preservation Coefficient and Equivalent Number of Looks

Based on the user-provided information, this compressed package contains detailed calculation methods for edge preservation coefficient and equivalent number of looks. The implementation typically involves algorithms like Sobel or Canny operators for edge detection, followed by mathematical formulas to quantify edge preservation quality. For equivalent number of looks, statistical methods involving speckle noise modeling and homogeneity analysis are commonly implemented. We also provide practical application examples and real-world usage scenarios to help users better understand and apply these calculation methods. The package may include sample code demonstrating how to integrate these algorithms into image processing pipelines, with key functions for parameter optimization and performance evaluation. Additionally, we include historical background and development trends of these calculation methods, highlighting their importance in synthetic aperture radar (SAR) image processing, medical imaging, and remote sensing applications. Users can learn about algorithm evolution from basic statistical approaches to modern machine-learning enhanced versions. These supplementary materials, combined with code annotations and implementation guidelines, aim to provide comprehensive support for users developing image quality assessment systems.