Super-efficient enhancement algorithm for infrared night vision imaging system
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Super-efficient enhancement algorithm for infrared night vision imaging system H. I. Ashiba 1 & M. I. Ashiba 1 Received: 1 May 2019 / Revised: 7 September 2020 / Accepted: 17 September 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
This paper presents new three proposed approaches for enhancement of Infrared (IR) night vision images. The first approach is based on merging gamma correction with the Histogram Matching (HM). The second approach depends on hybrid gamma correction with Contrast Limited Adaptive Histogram Equalization (CLAHE). The third approach is based on a trilateral enhancement that the IR images pass through three stages: segmentation, enhancement and sharpening. In the first stage, the IR image is divided into segments based on Optimum Global Thresholding (OTSU) method. The second stage, which is the heart of the enhancement approach, depends on Additive Wavelet Transform (AWT) to decompose the image into an approximation and details. Homomorphic enhancement is performed on the detail components, while Plateau Histogram Equalization (PHE) is performed on the approximation plane. Then, the image is reconstructed and subjected to a post-processing high pass filter. Average gradient, Sobel edge magnitude, entropy and spectral entropy has been used as quality metrics for assessment the three proposed approaches. It is clear that the third proposed approach gives superior results to the two proposed approaches point view the quality metrics. On the other hand, clear that the third proposed approach takes long computation time in the implementation with respect to the two proposed approaches. The first proposed approach gives better results to the two proposed approaches from the computation time perspective. Keywords IR images . Night vision . Gamma correction . CLAHE . HM . PHE . AWT . Homomorphic enhancement
* H. I. Ashiba [email protected]
1
Department of Electronics and Electrical Communications Engineering, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt
Multimedia Tools and Applications
1 Introduction Image enhancement techniques have been widely used in many applications of image processing, where the subjective quality of images is important for human interpretation. Contrast is an important factor in any subjective evaluation of image quality. Contrast is the difference in visual properties that makes an object distinguishable from other objects and the background [5, 6, 9]. Night vision signifies the ability to see in dark (night). This capability is normally possessed by owls and cats, but with the development of science and technology, devices have been developed to enable human beings to see in the dark as well as in adverse atmospheric conditions such as fog, rain, and dust [3, 15, 17, 23, 24]. The main purpose for the development of night vision technology was military use to locate enemies at night [8, 13]. This technology is not only used extensively for military purposes, but also for navigation, surveillance, targeting and
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