Abstract:

A fusion method for polarimetric image based on contourlet transform is proposed. Owing to the geometric information, contourlet transform is a flexible multi-scale, multi-direction and shift-invariant image decomposition, it is easily adjustable for detecting fine details in any orientation along curvatures, which results in more potential for effective analysis of images compare with wavelet transform.This three polarimtric images in 555 band are decomposed using contourlet transform. For low-pass coefficients and the directional high-frequency coefficients, which have been calculated with the energy of the correspomding neighbor region , are used to select the better coefficients byl weighted sum of algorithm for fusion. Experimental results show that compared with the wavelet transform algorithm, the algorithm can get better visual effect and achieve the virtue of polarimetric image effectively and preserves image details, and the significant information of original image like textures and contour details is well maintained.

Key words: image fusion, contourlet transform, fusion rule, polarimetric image, regional energy