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About this paper
Xuran Hu, Yuru Jia, Tengxi Wang, Miloš Daković, Ljubiša Stanković, Wufan Zhao
p-Bridge models image noise using exponent p for dependence of variance on clean intensity and measurement index ν for accumulated exposure. It conditions one denoising network on p; pixelwise variance is clean intensity raised to p divided by ν. The learned network supports p from 1 to 2. In severe-noise synthetic tests, its worst-case PSNR is 22.260 dB, versus 22.254 dB for five specialists.
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