ICEBIN: Image Contrast Enhancement Based on Induced Norm and Local Patch Approaches
Journal
IEEE Access
Journal Volume
9
Pages
23737-23750
Date Issued
2021
Author(s)
Tung T.-C
Abstract
Traditional histogram equalization may cause degraded results of over-enhanced images under uneven illuminations. In this paper, a simple and effective image contrast enhancement method is proposed to achieve high dynamic range imaging. First, the illumination of each pixel is estimated by using an induced norm of a patch of the image. Second, a pre-gamma correction is proposed to enhance the contrast of the illumination component appropriately. The parameters of gamma correction are set dynamically based on the local patch of the image. Third, an automatic Contrast-Limited Adaptive Histogram Equalization (CLAHE) whose clip point is automatically set is applied to the processed image for further image contrast enhancement. Fourth, a noise reduction algorithm based on the local patch is developed to reduce image noise and increase image quality. Finally, a post-gamma correction is applied to slightly enhance the dark regions of images and not affect the brighter areas. Experimental results show that the proposed method has its superiority over several state-of-the-art enhancement quality techniques by using qualitative and quantitative evaluations. ? 2013 IEEE.
Subjects
Equalizers; Graphic methods; Noise abatement; Contrast Limited Adaptive Histogram Equalization (CLAHE); High dynamic range imaging; Histogram equalizations; Illumination components; Image contrast enhancement; Noise reduction algorithms; Quantitative evaluation; Uneven illuminations; Image enhancement
SDGs
Type
journal article