Combine Target Extraction and Enhancement Methods to Fuse Infrared and LLL Images
Abstract: For getting the
useful object information from infrared image and mining more detail of low
light level (LLL) image, we propose a new fusion method based on segmentation
and enhancement methods in the paper. First, using 2D maximum entropy method to
segment the original infrared image for extracting infrared target, enhancing
original LLL image by Zadeh transform for mining more detail information, on
the basis of the segmented map to fuse the enhanced LLL image and original
infrared image. Then, original infrared image, the enhanced LLL image and the
first fused image are used to realize fusion in non-subsampled contourlet
transform (NSCT) domain, we get the second fused image. By contrast of
experiments, the fused image of the second fused method’s visual effect is
better than other methods’ from the literature. Finally, Objective evaluation
is used to evaluate the fused images’ quality, its results also show that the
proposed method can pop target information, improve fused image’s resolution
and contrast.
Author: Yong Chen, Xiong Jie,
Huan-lin Liu, Qiang Fan
Journal Code: jptkomputergg140079
