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SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising
April 2, 2024, 7:47 p.m. | Runmin Zhang, Zhu Yu, Zehua Sheng, Jiacheng Ying, Si-Yuan Cao, Shu-Jie Chen, Bailin Yang, Junwei Li, Hui-Liang Shen
cs.CV updates on arXiv.org arxiv.org
Abstract: Cross-spectral image guided denoising has shown its great potential in recovering clean images with rich details, such as using the near-infrared image to guide the denoising process of the visible one. To obtain such image pairs, a feasible and economical way is to employ a stereo system, which is widely used on mobile devices. Current works attempt to generate an aligned guidance image to handle the disparity between two images. However, due to occlusion, spectral …
abstract architecture arxiv cs.cv denoising guide image images near process stage transformer type
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