针对图像融合过程中边缘处理和区域一致性的问题，提出一种基于多重调和局部正弦变换的红外与可见光图像融合新算法.多重调和局部正弦变换的多重调和分量u代表了图像缓慢变化的“趋势”，在空域进行加权融合；残差分量v体现了源图像的“波动”，在傅里叶正弦变换域进行融合，以充分提取可见光图像的细节信息.由于不存在边缘效应，同时残差分量的傅里叶正弦系数具有高的消失矩，多重调和局部正弦变换应用于图像融合可取得较好的效果.多次红外与可见光图像融合实验证明所提算法有效提取了源图像有用信息，克服了多分辨率分析算法存在的边缘效应和区域一致性问题.

Aiming at the regional homogeneity and processing of the edges in course of image fusion, a novel image fusion algorithm for visible and infrared images based on polyharmonic local sine transform is proposed. The polynomial u of the source images are fused with average in order to extract the global feature, and the residual v are fused in the field of Fourier sine transform to keep region homogeneity and extract details of the visible image. The polyharmonic local sine transform avoids the disadvantages of edge effect. Combing this advantage with the quickly decaying coefficients of the residuals, polyharmonic local sine transform is effective for image fusion. Experimental results show that the proposed algorithm improves the visual effect, and enhances the contrast and information entropy.