Block-based contrast enhancement method for medical application

V. Voronin; E. Semenishchev; A. Zelensky; S. Agaian

doi:10.1117/12.2588574

12 April 2021 Block-based contrast enhancement method for medical application

V. Voronin, E. Semenishchev, A. Zelensky, S. Agaian

Proceedings Volume 11734, Multimodal Image Exploitation and Learning 2021; 117340R (2021) https://doi.org/10.1117/12.2588574
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Conference Poster

Abstract

We present a new image enhancement algorithm based on multi-scale block-rooting processing. The basic idea is to apply the frequency domain image enhancement approach for different image blocks. The parameter of transform coefficient enhancement for every block is driven through optimization of measure of enhancement. Some experimental results are presented to illustrate the performance of the proposed algorithm on the medical image dataset. It is shown that the proposed method can realize the image color constancy, local dynamic range compression, color enhancement, and the overall dynamic range compression under certain circumstances.

Citation Download Citation

V. Voronin, E. Semenishchev, A. Zelensky, and S. Agaian "Block-based contrast enhancement method for medical application", Proc. SPIE 11734, Multimodal Image Exploitation and Learning 2021, 117340R (12 April 2021); https://doi.org/10.1117/12.2588574

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