EENet: An effective and efficient network for single image dehazing

Published: 01 Jan 2025, Last Modified: 11 Apr 2025Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Our method uses frequency separation and multi-scale learning for image dehazing.•Frequency processing module bridges frequency gaps and has global receptive fields.•Spatial processing module improves the multi-scale learning ability.
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