Real-time infrared image detail enhancement based on fast guided image filter and plateau equalization
- 20 July 2020
- journal article
- research article
- Published by Optica Publishing Group in Applied Optics
- Vol. 59 (21), 6407-6416
- https://doi.org/10.1364/AO.396417
Abstract
Image detail enhancement is critical to the performance of infrared imaging systems because the original images generally suffer from low contrast and a low signal-to-noise ratio. Although conventional decomposition-based methods have advantages in enhancing image details, they also have clear disadvantages, which include intensive computations, over-enhanced noise, and gradient reversal artifacts. In this paper, we propose to accelerate enhancement processing by using a fast guided filter and plateau equalization. Our method consists of image decomposition, base and detail layers processing, and projection of the enhanced image to an 8-bit dynamic range. Experimental results demonstrated that our proposed method achieves a good balance among detail enhancement performance, noise and gradient reversal artifacts suppression, and computational cost, with a frame rate around 30 fps for 640 x 512 infrared images. (C) 2020 Optical Society of AmericaFunding Information
- China Scholarship Council (201904910017)
- National Natural Science Foundation of China (51905529)
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