基于B样条梯度的融合图像算法

图像融合在目标识别、计算机视觉、医学、遥感图像处理等领域应用广泛.利用B样条梯度融合图像算法来解决图像融合，将融合的图像分成3×3子块，计算每个子块的B样条梯度.把待融合图像对应的子块梯度模值累加求和，计算每个子块梯度模值的权值并与每个子块相乘并求和，得到融合后的图像子块.模拟实验结果表明该方法是有效的,优于传统的主分量分析、小波变换和Laplacian金字塔等方法.

Gradient Image Fusion Algorithm Based on B-Spline

Image fusion is widely used in target recognition,computer vision,medicine,remote sensing,image processing and many other fields.This paper proposes an image fusion method based on B-spline gradient.It first divides the source image into small blocks of 3×3 size,calculates separately the B-spline gradient for each sub-block,adds up the gradient modulus values,calculates the weight value of each sub-block gradient modulus value,multiplies each sub-block and respective weight value and obtains the fusion image sub-block.Simulation experiments and analysis show that this method is effective and has a better performance than traditional methods such as principal component analysis,wavelet transformation and the Laplacian pyramid.