Yuhong Li; Jianzhong Zhou; Wei Ding; Shan Ding

An Improved Local Equilibrium Contrast Enhancement Algorithm for Infrared Laser Images

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Author(s)

Yuhong Li ^1,* Jianzhong Zhou ¹ Wei Ding ¹ Shan Ding ¹

1. Digital Engineering and Simulation Centre Huazhong University of Science and Technology Wuhan 430074, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2010.02.05

Received: 20 Aug. 2010 / Revised: 5 Oct. 2010 / Accepted: 18 Nov. 2010 / Published: 8 Dec. 2010

Index Terms

Infrared Laser Images, Grey Transformation, Evaluation of Image Quality, Self-adaptive Threshold

Abstract

An improved local equilibrium contrast enhancement algorithm based self-adaptive contrast enhancement algorithm is proposed for infrared laser images, in which the image pixel value histogram is divided into three parts: background and noise area, targets area, and uninterested area. The targets parts are highlighted, while the background and noise parts and the uninterested parts are restrained. A comprehensive qualitative and quantitative image enhancement performance evaluation is presented to verify the proposed theory and algorithm validity, efficiency and reasonability. The experimental results indicate that the proposed algorithm can greatly improve the global and local contrast for both near infrared images and far infrared laser images while efficiently reducing noise in the infrared laser images，and the visual quality of enhanced image is obviously better than the enhancement of the traditional histogram equalization, double plateaus histogram equalization algorithm, etc.

Cite This Paper

Yuhong Li,Jianzhong Zhou,Wei Ding,Shan Ding, "An Improved Local Equilibrium Contrast Enhancement Algorithm for Infrared Laser Images", IJIGSP, vol.2, no.2, pp.32-38, 2010. DOI: 10.5815/ijigsp.2010.02.05

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International Journal of Image, Graphics and Signal Processing (IJIGSP)