AI RESEARCH
TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising
arXiv CS.CV
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ArXi:2604.04484v1 Announce Type: cross Blind-spot networks (BSNs) enable self-supervised image denoising by preventing access to the target pixel, allowing clean signal estimation without ground-truth supervision. However, this approach assumes pixel-wise noise independence, which is violated in real-world sRGB images due to spatially correlated noise from the camera's image signal processing (ISP) pipeline. While several methods employ downsampling to decorrelate noise, they alter noise statistics and limit the network's ability to utilize full contextual information.