A new image fusion technology based on object extraction and NSCT

Combine Target Extraction and Enhancement Methods to Fuse Infrared and LLL Images

“…All these methods can achieve a good fusion visual effects, but some shortcomings in preserving original information from the original images, especially, for the insufficient sunshine or targets concealed and so on, easy to lead targets lose or unobvious, so we can not easy to understand the scene. Therefore, in recent years, the scholars had put forward some other fusion methods [12]- [15], for extracting the target or mining more depth detail better. Literature [12] combined compressed sensing principle to fuse images, the fused image could decrease fusion time and had a better visual effects, but its target highlights unobviously.…”

“…This method quickly realizes fusion, it also had better performance in detail, but the contrast of the fused image was poor. Literature [14] introduced local histogram equalization to enhance both the infrared and LLL images, then denoised with the median filter, this method [15] which based on Renyi entropy to segment the infrared image for extracting thermal targets, and enhance the LLL image's detail in NSCT domain. The fused image had a high brightness, so lost its detail information at the same time.…”