Computer Science ›› 2010, Vol. 37 ›› Issue (3): 275-277.

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X-ray Image Enhancement Based on Curvelet Transform

YANG Zhen-ya,CHEN Yu-quan,PAN min   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Traditional X-ray image enhancement methods have the problem that enhanced image detail is not clear enough or too much noisy. Based on rigorous mathematical defined multi-scale geometric analysis method, Curvelet transform, a flexible non-linear enhancement function was presented. First of all, Curvelet transform was applied to the X-ray image, then, the fine Curvelet coefficients were mapped by the presented enhancement function, and finally the enhancement X-ray image was reconstructed from the amended Curvelet coefficients. The experiment results show that the Curvelet transform can effectively enhance the X-ray image edge contrast by presented enhancement function. The enhanced X-image has better visual effects with clear edge details and smaller noise compared with the traditional methods.

Key words: Image enhancement, Curvelet transform, Multi-scale geometric analysis, X-ray image

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