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BioMed Research International
Volume 2016 (2016), Article ID 7478219, 11 pages
Research Article

HDR Pathological Image Enhancement Based on Improved Bias Field Correction and Guided Image Filter

1Software College of Northeastern University, Shenyang, Liaoning 110819, China
2Department of Radiology, Chinese PLA General Hospital, Shenyang 110015, China

Received 4 September 2016; Revised 18 November 2016; Accepted 8 December 2016

Academic Editor: Enzo Terreno

Copyright © 2016 Qingjiao Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Pathological image enhancement is a significant topic in the field of pathological image processing. This paper proposes a high dynamic range (HDR) pathological image enhancement method based on improved bias field correction and guided image filter (GIF). Firstly, a preprocessing including stain normalization and wavelet denoising is performed for Haematoxylin and Eosin (H and E) stained pathological image. Then, an improved bias field correction model is developed to enhance the influence of light for high-frequency part in image and correct the intensity inhomogeneity and detail discontinuity of image. Next, HDR pathological image is generated based on least square method using low dynamic range (LDR) image, H and E channel images. Finally, the fine enhanced image is acquired after the detail enhancement process. Experiments with 140 pathological images demonstrate the performance advantages of our proposed method as compared with related work.