A new self-adaptive image enhancement method based on piecewise linear transformation

Guangzhou Zhao; Kun Zhang; Wenhua Wang; Siniu Huang; Haifeng Liu; Xiaochun Song

doi:10.1117/12.2032020

26 October 2013 A new self-adaptive image enhancement method based on piecewise linear transformation

Guangzhou Zhao, Kun Zhang, Wenhua Wang, Siniu Huang, Haifeng Liu, Xiaochun Song

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 891713 (2013) https://doi.org/10.1117/12.2032020
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Guangzhou Zhao, Kun Zhang, Wenhua Wang, Siniu Huang, Haifeng Liu, and Xiaochun Song "A new self-adaptive image enhancement method based on piecewise linear transformation", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 891713 (26 October 2013); https://doi.org/10.1117/12.2032020

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