High dynamic infrared image compressive enhancement based on fast local Laplacian filters

Chunmei Wang; Hanlin Qin; Wanting Wang; Wenxiong Cheng; Huixin Zhou

doi:10.1117/12.2285698

24 October 2017 High dynamic infrared image compressive enhancement based on fast local Laplacian filters

Chunmei Wang, Hanlin Qin, Wanting Wang, Wenxiong Cheng, Huixin Zhou

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 1046251 (2017) https://doi.org/10.1117/12.2285698
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

High dynamic range infrared image detail enhancement is an important processing procedure in the field of infrared (IR) imaging. Because of the dynamic range of natural scene image far beyond the human vision system, display equipment, and the high dynamic image transformed directly from high dynamic to low dynamic will cause detail information lost, it is essential to compress dynamic range of image and enhance detail. Aiming at the disadvantages of existing methods, high dynamic infrared image compressive enhancement based on fast local Laplacian filters were proposed. First, the fast local Laplacian filters are utilized to separate the image into a base layer and detail layer. Second, the dynamic range of base layer was compressed by using gamma correction in order to improve contrast. The detail layer is stretched by utilizing sigmoid function. Finally, the enhanced output image is obtained by recombining the detail layer and base layer. Compared with other methods such as histogram equalization, bilateral filtering, the experimental results demonstrated that the proposed method have a better performance in term of enhancing details and improving contrast by using evaluation index of image detail enhancement.

Citation Download Citation

Chunmei Wang, Hanlin Qin, Wanting Wang, Wenxiong Cheng, and Huixin Zhou "High dynamic infrared image compressive enhancement based on fast local Laplacian filters", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046251 (24 October 2017); https://doi.org/10.1117/12.2285698

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KEYWORDS

Image enhancement

Infrared imaging

High dynamic range imaging

Image compression

Image filtering

Infrared radiation

Optical filters

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