关于代价函数的资料

代价函数（常用的有SSD、SAD和SATD）：

SAD (Sum of Absolute Difference) = SAE (Sum of Absolute Error)，即绝对误差和

SATD (Sum of Absolute Transformed Difference)，即经hadamard变换后再绝对值求和

SSD (Sum of Squared Difference) = SSE (Sum of Squared Error)，即差值的平方和

MAD (Mean Absolute Difference) = MAE (Mean Absolute Error)，即平均绝对差值

MSD (Mean Squared Difference) = MSE (Mean Squared Error)，即平均平方误差

代价函数总结：
https://blog.csdn.net/juanjuan1314/article/details/78063984

匹配代价函数之SAD：
https://blog.csdn.net/u014493244/article/details/72765748

匹配代价函数之ZNCC：
https://blog.csdn.net/u014493244/article/details/72773645

图像质量评估算法-SAD SSD MAD MSD SSIM MS-SSIM：
https://blog.csdn.net/u011875342/article/details/78036380

未完待续……