Infrared Image Adaptive Enhancement Guided by Energy of Gradient Transformation and Multiscale Image Fusion
Source abstract
Abstract
The detail enhancement and dynamic range compression of infrared (IR) images is an important issue and a necessary practical application in the domain of IR image processing. This paper provides a novel approach to displaying high dynamic range infrared images on common display equipment with appropriate contrast and clear detail information. The steps are chiefly as follows. First, in order to protect the weak global details in different regions of the image, we adjust the original normalized image into multiple brightness levels by adaptive Gamma transformation. Second, each brightness image is decomposed into a base layer and several detail layers by the multiscale guided filter. Details in each image are enhanced separately. Third, to obtain the image with global details of the input image, enhanced images in each brightness are fused together. Last, we filter out the outliers and adjust the dynamic range before outputting the image. Compared with other conventional or cutting-edge methods, the experimental results demonstrate that the proposed approach is effective and robust in dynamic range compression and detail information enhancement of IR image.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Image Fusion Techniques · Image Enhancement Techniques · Photoacoustic and Ultrasonic Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Optical Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, No.1, Optoelectronic Avenue, Wenxing Town, Shuangliu District, Chengdu 610209, China
University of Chinese Academy of Sciences, Beijing 100039, China
Systems Engineering Research Institute, Beijing 100036, China
Funding
the National High Technology Research and Develop- 308 ment Program of China (863 Program)
References (35)
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