Image Fusion Algorithm Based on PCNN and Wavelet Transform
For the better to simulate the process pattern of human eyes vision to fuse the images, taking the advantages of the merits of both PCNN and wavelet transform, a multi-resolution image fusion algorithm based on adaptive linking strength PCNN is proposed. This algorithm based on wavelet transform adopts PCNN of which the linking strength is local contrast, makes the different characteristics contented in the source images fuse into one image. The experiment results show that by using this algorithm, the mutual information between the images can be fused organically, the image clarity is raised, visual effect is improved greatly. Strong support for the information analysis and extractive ability of the images are provided.
wavelet transform PCNN, local contrast adaptive linking strength image fusion
Wen Ge Peng Li
School of Electronics and Information Engineering Shenyang Aerospace University Shenyang, China
国际会议
杭州
英文
374-377
2012-10-28（万方平台首次上网日期，不代表论文的发表时间）