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2020 | OriginalPaper | Chapter

Enhancement of Retinal Fundus Images via Pixel Color Amplification

Authors : Alex Gaudio, Asim Smailagic, Aurélio Campilho

Published in: Image Analysis and Recognition

Publisher: Springer International Publishing

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Abstract

We propose a pixel color amplification theory and family of enhancement methods to facilitate segmentation tasks on retinal images. Our novel re-interpretation of the image distortion model underlying dehazing theory shows how three existing priors commonly used by the dehazing community and a novel fourth prior are related. We utilize the theory to develop a family of enhancement methods for retinal images, including novel methods for whole image brightening and darkening. We show a novel derivation of the Unsharp Masking algorithm. We evaluate the enhancement methods as a pre-processing step to a challenging multi-task segmentation problem and show large increases in performance on all tasks, with Dice score increases over a no-enhancement baseline by as much as 0.491. We provide evidence that our enhancement preprocessing is useful for unbalanced and difficult data. We show that the enhancements can perform class balancing by composing them together.

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previous chapter A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images

next chapter Wavelet-Based Retinal Image Enhancement

Cao, L., Li, H., Zhang, Y.: Retinal image enhancement using low-pass filtering and alpha-rooting. Signal Process. 170, 107445 (2020). https://doi.org/10.1016/j.sigpro.2019.107445. http://www.sciencedirect.com/science/article/pii/S0165168419304967CrossRef

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Galdran, A., Bria, A., Alvarez-Gila, A., Vazquez-Corral, J., Bertalmio, M.: On the duality between retinex and image dehazing. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (June 2018). https://doi.org/10.1109/cvpr.2018.00857

Gaudio, A.: Open source code (2020). https://github.com/adgaudio/ietk-ret

He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2341–2353 (2011). https://doi.org/10.1109/TPAMI.2010.168CrossRef

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Title: Enhancement of Retinal Fundus Images via Pixel Color Amplification
Authors: Alex Gaudio
Asim Smailagic
Aurélio Campilho
Publisher: Springer International Publishing
Book: Image Analysis and Recognition
Print ISBN: 978-3-030-50515-8

Electronic ISBN: 978-3-030-50516-5

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-50516-5_26

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