Image contrast enhancement based on a histogram transformation of local standard deviation

Dah Chung Chang, Wen Rong Wu

研究成果: 雜誌貢獻期刊論文同行評審

198 引文 斯高帕斯(Scopus)

摘要

The adaptive contrast enhancement (ACE) algorithm, which uses contrast gains (CG's) to adjust the highfrequency components of images, is a well-known technique for medical image processing. Conventionally, the CG is either a constant or inversely proportional to the local standard deviation (LSD). However, it is known that conventional approaches entail noise overenhancement and ringing artifacts. In this paper, we present a new ACE algorithm that eliminates these problems. First, a mathematical model for the LSD distribution is proposed by extending Hunt's image model. Then, the CG is formulated as a function of the LSD. The function, which is nonlinear, is determined by the transformation between the LSD histogram and a desired LSD distribution. Using our formulation, it can be shown that conventional ACE's use linear functions to compute the new CG's. It is the proposed nonlinear function that produces an adequate CG resulting in little noise overenhancement and fewer ringing artifacts. Finally, simulations using some X-ray images are provided to demonstrate the effectiveness of our new algorithm.

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頁(從 - 到)518-531
頁數14
期刊IEEE Transactions on Medical Imaging
17
發行號4
DOIs
出版狀態已出版 - 1998

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