Fast contrast enhancement by adaptive pixel value stretching

Gang Cao, Huawei Tian, Lifang Yu and Xianglin Huang

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 8, 1550147718793803

Abstract: In this article, we propose a fast and effective method for digital image contrast enhancement. The gray-level dynamic range of contrast-distorted images is extended maximally via adaptive pixel value stretching. The quantity of saturated pixels is set intelligently according to the perceptual brightness of global images. Adaptive gamma correction is also novelly used to recover the normal luminance in enhancing dimmed images. Different from prior methods, our proposed technique could be enforced automatically without complex manual parameter adjustment per image. Both qualitative and quantitative performance evaluation results show that, comparing with some recent influential contrast enhancement techniques, our proposed method achieves comparative or better enhancement quality at a surprisingly lower computational cost. Besides general computer applications, such merit should also be valuable in low-power scenarios, such as the imaging pipelines used in small mobile terminals and visual sensor network.

Keywords: Image processing; contrast enhancement; fast; pixel value stretching; adaptive gamma correction (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:8:p:1550147718793803

DOI: 10.1177/1550147718793803

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