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Proceedings Paper

A new self-adaptive image enhancement method based on piecewise linear transformation
Author(s): Guangzhou Zhao; Kun Zhang; Wenhua Wang; Siniu Huang; Haifeng Liu; Xiaochun Song
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Paper Abstract

This paper presents a new image enhancement method based on self-adaptive piecewise linear transformation. It is most important to select division points during the processing course of piecewise linear transformation because these division points can decide the quality and efficiency of image enhancement. In this paper, division points are automatically and self-adaptive selected based on the gray grade and histogram feature of images. In order to increase the contrast of the image, it is necessary to extend the object section, maintain the transition section and compress the background section. Our method is easy to use, and the experiment results show that the technique can produce good results on a variety of images.

Paper Details

Date Published: 26 October 2013
PDF: 5 pages
Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 891713 (26 October 2013); doi: 10.1117/12.2032020
Show Author Affiliations
Guangzhou Zhao, Beijing Institute of Control and Electronic Technology (China)
Kun Zhang, Key Lab. of Complex Aviation System Simulation (China)
Wenhua Wang, Beijing Institute of Control and Electronic Technology (China)
Siniu Huang, Science and Technology on Information Systems Engineering Lab. (China)
Haifeng Liu, Science and Technology on Information Systems Engineering Lab. (China)
Xiaochun Song, Beijing Institute of Control and Electronic Technology (China)


Published in SPIE Proceedings Vol. 8917:
MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jianguo Liu, Editor(s)

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