Enhancement of infrared image using fractal based human visual system

Tian-he Yu; Jing-min Dai; Wei-min Kang

doi:10.1117/12.821232

12 January 2009 Enhancement of infrared image using fractal based human visual system

Tian-he Yu, Jing-min Dai, Wei-min Kang

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 71331Y (2009) https://doi.org/10.1117/12.821232
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

Abstract

This paper presents a fractal based human visual system(HVS) proposed for elimination of blurred edge and enhancement of infrared images. Human visual system is used in the proposed approach and the fractal dimension of an infrared image is first measured using a fraction Brownian motion model as an accurate indication of the coarseness of an infrared image. The fractal dimension of each pixel was calculated using a fractional Brownian random model and the self-similitude and surface coarseness of the gray level of each pixel are described using fractal value of each pixel. HVS is sensitive to the edge area of an image, and the pixels are then classified into edge pixels, smooth pixels and texture pixels according to their fractal dimensions. The gray level of each edge pixel is weighted and enhanced using a fractal based HVS. Experimental results indicate that fractional Brownian motion model is effective in detecting the edge detail of an infrared image. This approach can be used to preserve edge details and enhance the contrast of an image.

Citation Download Citation

Tian-he Yu, Jing-min Dai, and Wei-min Kang "Enhancement of infrared image using fractal based human visual system", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71331Y (12 January 2009); https://doi.org/10.1117/12.821232

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