Fusion of visible image and infrared image based on Contourlet transform and improved spatial frequence

摘要

Pointing at the defect of Space Frequency Algorithm in abstracting detail information used in Regional Feature Self-Adaptive Image Fusion Algorithm, an improved Spatial Frequency Algorithm is proposed. Firstly, the histogram specification is used to adjust pixel values of the infrared image. Secondly, the multi-scale decomposition is performed on visible image and the adjusted infrared image using Contourlet transform. Finally, low-frequency sub-band is fused using a rule based on Regional Energy rather than the simple weighted sum method. Other sub-bands are fused using the Improve Spatial Frequency rule. The experimental results show that the proposed method preserves more details of the visible image and obtains clear target information in the infrared image. A better effect is achieved compared to the reference article.