A new infrared image enhancement algorithm
Liming Sun, Jintao Wang, Shanshan Li · 2017
In order to solve the problem of fuzzy details, low contrast and poor visual effect of infrared image. A novel scheme for infrared image enhancement is proposed in this paper, which solved drawbacks of the histogram equalization algorithm that loss detail information of image and some areas are bleached, greatly improved the visual effect of the infrared image. Firstly, bilateral filter is performed on the original infrared image, we can obtain a base layer and a detail layer. At base layer, most value normalizing and gray linear mapping is applied to enhance the global contrast. At detail layer, S-curve algorithm is applied to enhance detail information. Finally linear weighted synthesis is used to achieve the integration of base layer and detail layer, to improve the visual effect of the infrared image. This algorithm could also be applied to 14 bit infrared image, compressing 14bit image to 8 bit image and achieving good detail enhancement. Through simulation on MATLAB, the results show that the proposed scheme could noticeably enhance image contrast, and obtain a good enhanced infrared image, at end.