Contrast enhancement by multiscale adaptive histogram equalization

Yinpeng Jin; Laura M. Fayad; Andrew F. Laine

doi:10.1117/12.449705

5 December 2001 Contrast enhancement by multiscale adaptive histogram equalization

Yinpeng Jin, Laura M. Fayad, Andrew F. Laine

Proceedings Volume 4478, Wavelets: Applications in Signal and Image Processing IX; (2001) https://doi.org/10.1117/12.449705
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

An approach for contrast enhancement utilizing multi-scale analysis is introduced. Sub-band coefficients were modified by the method of adaptive histogram equalization. To achieve optimal contrast enhancement, the sizes of sub-regions were chosen with consideration to the support of the analysis filters. The enhanced images provided subtle details of tissues that are only visible with tedious contrast/brightness windowing methods currently used in clinical reading. We present results on chest CT data, which shows significant improvement over existing state-of-the-art methods: unsharp masking, adaptive histogram equalization (AHE), and the contrast limited adaptive histogram equalization (CLAHE). A systematic study on 109 clinical chest CT images by three radiologists suggests the promise of this method in terms of both interpretation time and diagnostic performance on different pathological cases. In addition, radiologists observed no noticeable artifacts or amplification of noise that usually appears in traditional adaptive histogram equalization and its variations.

Citation Download Citation

Yinpeng Jin, Laura M. Fayad, and Andrew F. Laine "Contrast enhancement by multiscale adaptive histogram equalization", Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); https://doi.org/10.1117/12.449705

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