Objective Evaluation for Image Fusion

The objective evaluation program for image fusion is designed to quantitatively assess the quality of fused images through multiple computational metrics. Key evaluation parameters include distortion degree (measuring structural integrity preservation), correlation coefficient (quantifying similarity between source and fused images), and variance (evaluating contrast and information richness). These metrics provide standardized numerical assessments that eliminate subjective bias in fusion quality evaluation. From an implementation perspective, the program typically calculates distortion using pixel-wise difference algorithms, computes correlation coefficients through covariance matrix operations, and derives variance via statistical moment calculations. The evaluation system enables developers to precisely quantify fusion performance, identify algorithm weaknesses, and guide optimization efforts through data-driven insights. By analyzing these objective metrics, researchers can make informed decisions about parameter tuning, algorithm selection, and fusion strategy improvements for enhanced image processing outcomes.