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Contrast enhancement by multi-scale adaptive histogram equalization

Yinpeng Jin; Laura Fayad; Andrew F. Laine

Title:
Contrast enhancement by multi-scale adaptive histogram equalization
Author(s):
Jin, Yinpeng
Fayad, Laura
Laine, Andrew F.
Date:
Type:
Articles
Department:
Biomedical Engineering
Permanent URL:
Book/Journal Title:
Wavelets--applications in signal and image processing IX : 30 July-1 August 2001, San Diego [Calif.], USA ; Proceedings of SPIE, vol. 4478
Book Author:
Laine, Andrew F.
Publisher:
SPIE
Publisher Location:
Bellingham, Wash.
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.
Subject(s):
Biomedical engineering
Publisher DOI:
10.1117/12.449705
Item views:
548
Metadata:
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