Image Fusion by Combining SWT and Variational Model

摘要：

A new model is presented to perform image fusion by combining discrete stationary wavelet transform (SWT) and the variational approach. After the input images are decomposed with SWT, the approximate and detail coefficients of the fused image are chosen with the variational model considering the fusion requirements such as the spatial quality improvement or structural similarity preserving. The gradient descent flow is applied for the optimization solution of the variational model. The method is compared with the wavelet-based, SWT-based and contourlet-based fusion models visually and quantitatively. Experimental results demonstrate that this model can achieve the prospective results.

关键词： discrete stationary wavelet transform variational framework image fusion

作者: Zhou Zeming Jiang Lin Wang Jin Zhang Peng Yang Pinglv

作者单位: Institute of Meteorology PLA University of Science and Technology Nanjing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1942-1945

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）