Attention map-guided multi-scale haze removal method for industrial inspection system

V. Voronin; N. Gapon; M. Zhdanova; E. Semenishchev; A. Zelensky

doi:10.1117/12.2690890

27 November 2023 Attention map-guided multi-scale haze removal method for industrial inspection system

V. Voronin, N. Gapon, M. Zhdanova, E. Semenishchev, A. Zelensky

Proceedings Volume 12769, Optical Metrology and Inspection for Industrial Applications X; 127691R (2023) https://doi.org/10.1117/12.2690890
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Conference Poster

Abstract

We present a new haze removal algorithm based on attention map-guided multi-scale image processing. The proposed method is based on the frequency-domain coefficient correction of a set of images followed by their fusion based on the Laplacian pyramid. A new stage is presented in obtaining a local-global estimate of high-contrast images, also used in the attention map-guided fusion model. The algorithm consists of the following steps: gamma correction with different gamma parameters; the weight map calculation by multiplying the saturation, contrast, and attention for each image; decomposition of the weight map into a Gaussian pyramid; 3-D block-rooting enhancement; decomposition of images after 3-D block-rooting and gamma correction into the Laplacian pyramid; merging by multiplying multi-scale images and weights. The experiment results on the dataset D-HAZE confirmed the high efficiency of the proposed enhancement method compared to the state-of-the-art techniques for industrial inspection systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

V. Voronin, N. Gapon, M. Zhdanova, E. Semenishchev, and A. Zelensky "Attention map-guided multi-scale haze removal method for industrial inspection system", Proc. SPIE 12769, Optical Metrology and Inspection for Industrial Applications X, 127691R (27 November 2023); https://doi.org/10.1117/12.2690890

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