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.
Highlights
The infrared sensor can capture the thermal radiation emitted by the objects, which is less impacted by the dark condition
We filter out the bad pixels and adjust the dynamic range before outputting the image
In order to measure the effect and the efficiency of the proposed method.Multiple 16 bits infrared images selected from typical scenes in databases FLIR Thermal Starter Dataset Version 1.3 [31] and LTIR
Summary
The infrared sensor can capture the thermal radiation emitted by the objects, which is less impacted by the dark condition. It is widely applied in detection, scene surveillance, reconnaissance, and navigation, etc. Infrared sensors in high dynamic range (>8 bit) are always applied in practical application to capture more details in these years. If displaying the HDR images on normal facilities (8 bit) directly, some information in the original image could not be represented. The procedure to achieve high-quality visualization of HDR infrared image must take the following problems into consideration. First and foremost, the dynamic range of the output should be mapped to be acceptable for the display device
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