Title: An enhancement processing for smoke environment images of firefighting robots based on improved homomorphic filtering

Authors: Lei Zhang; Baochen Yang; Wenlian Guo

Addresses: College of Management and Economics, Tianjin University, Tianjin, China; Xinxing Jihua (Beijing) Intelligent Equipment Technology Research Institute, Beijing, China ' College of Management and Economics, Tianjin University, Tianjin, China ' Tianjin Transportation Technology College, Xiqing, Tianjin, China

Abstract: In this paper, a smoke environment image enhancement processing method for fire extinguishing robots based on improved homomorphic filtering is designed. Using firefighting robots as carriers, high-speed cameras are installed to capture image information of smoke environments. Homomorphic filtering is used to eliminate interference information in the images, and the homomorphic filtering results are improved through a total variation model. Global feature values are extracted using the Retinex algorithm based on the filtered image. Based on the extracted image feature values, a weighted fusion is performed to construct an image enhancement model, which completes the image enhancement process through model calculations. The experimental results show that this method can effectively enhance the information in smoke environment images, achieving an average contrast gain of nearly 30% while maintaining natural preservation at around 98%.

Keywords: firefighting robot; smoke environment image; image enhancement; homomorphic filtering; total variational model; Retinex algorithm; feature extraction.

DOI: 10.1504/IJCAT.2026.153105

International Journal of Computer Applications in Technology, 2026 Vol.78 No.3, pp.236 - 244

Received: 05 Nov 2024
Accepted: 30 Apr 2025
Published online: 22 Apr 2026 *

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