Abstract
The principle of image enhancement is based on increasing the contrast between adjacent pixels, enabling viewers to visually perceive images with greater detail in the textures and edges. Many contrast enhancement methods have been proposed to improve the quality of images and most of these methods are based histogram equalization (HE); however, the actual results remain uncertain due to the lack of an objective evaluation procedure with which to measure them. This paper proposes a quantitative analysis for the assessment of image quality based on several subjective and objective evaluation metrics. Furthermore, there are 11 different HE based contrast enhancement techniques are evaluated in this paper.
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Gao, MZ., Wu, ZG., Wang, L. (2013). Comprehensive Evaluation for HE Based Contrast Enhancement Techniques. In: Pan, JS., Yang, CN., Lin, CC. (eds) Advances in Intelligent Systems and Applications - Volume 2. Smart Innovation, Systems and Technologies, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35473-1_33
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DOI: https://doi.org/10.1007/978-3-642-35473-1_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35472-4
Online ISBN: 978-3-642-35473-1
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