SGLC is a two-stage, global-then-local patch-based framework that improves high-resolution image dehazing and, on the authors' 4-image test set, beats downsampled Uformer by over 10 dB PSNR.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp
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Dual-Stage Global and Local Feature Framework for Image Dehazing
SGLC is a two-stage, global-then-local patch-based framework that improves high-resolution image dehazing and, on the authors' 4-image test set, beats downsampled Uformer by over 10 dB PSNR.