Image enhancement via multiscale-exposure image fusion

A. Zelensky; N. Gapon; M. Zhdanova; V. Voronin; Y. Ilukhin; A. Gribkov

doi:10.1117/12.3038616

22 November 2024 Image enhancement via multiscale-exposure image fusion

A. Zelensky, N. Gapon, M. Zhdanova, V. Voronin, Y. Ilukhin, A. Gribkov

Proceedings Volume 13239, Optoelectronic Imaging and Multimedia Technology XI; 132391Y (2024) https://doi.org/10.1117/12.3038616
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Conference Poster

Abstract

The goal of image enhancement is to improve specific features or details of an image and enhance its overall visual quality. We introduce a novel image enhancement algorithm based on block-rooting processing combined with multi-scale exposure image fusion. The proposed method integrates both local and global transform domain-based feedback mechanisms for imaging applications. The core concept of the local alpha-rooting method involves applying it to disjoint blocks of varying sizes, followed by the decomposition of the weight map and multi-scale enhanced images into Gaussian and Laplacian pyramids. Fusion is achieved by multiplying the multi-scale images and their corresponding weights. A new stage is introduced to obtain a local-global estimate of high-contrast images, which is also employed in the general artificial fusion model. Computer simulations conducted on image datasets demonstrate that the new enhancement algorithm outperforms state-of-the-art techniques.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

A. Zelensky, N. Gapon, M. Zhdanova, V. Voronin, Y. Ilukhin, and A. Gribkov "Image enhancement via multiscale-exposure image fusion", Proc. SPIE 13239, Optoelectronic Imaging and Multimedia Technology XI, 132391Y (22 November 2024); https://doi.org/10.1117/12.3038616

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