The Fusion of Infrared and Visible Images with Orthogonal Multiwavelet
Multiwavelet possess more better mathematic property compared with scalar wavelet,but jn practice,the design of prefilter or balanced filters determined the processing result.The balanced multi.filter banks are designed for OPTFR-multiwavelet and a new fusion algorithm is presented associating this multi.fiIter with V.Petrovic’s fuse.then-decompose technique.At each resolution level.input images are trausformed into their horizontaI gradient map representations and then are fused intoa single horizontal gradient map Which is filtered by gradientfilters to produce the fused horizontal subband image.At sametime the input images are decomposed with low-pass multi-filters in the horizontal direction to get approximations Which are then processed in the same manner as the input images but in the vertical direction.This produces the vertical fused subband image and the quarter-band low-pass approximations.Same operation were employed on the low-pass approximations for several steps and the final approximation are fused using arithmetic method.The fusion image was obtained through opposite reconstruction process.The approach retains the detail information of input images better than conventionaI fusion method,The simulation results testify validity of the algorithm.
Chang-Xing Li Han-Zhang Qu Bin Zhang
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
307-310
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）