Enhancement Algorithm for High Dynamic Range Infrared Image Based on Multi-scale Processing
Zhu Dao-guan · Infrared Technology · 2013
Infrared images usually have very high dynamic range(HDR),up to 14 digital bits or more,such high dynamic range image contains both large signal variations and small low contrast details,however,this is unacceptable for both human perception and the ability of display devices.In this paper,we propose an improved method for the enhancement of infrared images based on the framework of edge preserving filter and multi-scale processing.First,a weighted least square(WLS) filter is used to split the raw image into multi-scale layers.Then the detail layers and the coarse layer are processed separately,boosting the details properly and compressing the coarse layer accordingly.Finally,all the layers are recombined to get the low dynamic range image for display.We demonstrate that the method proposed can both preserve the details of infrared images and eliminate or weaken the artifacts of halo and gradient reversal.