Normalization-Equivariant Neural Networks with Application to Image Denoising

arXiv:2306.05037v2 Announce Type: replace
Abstract: In many information processing systems, it may be desirable to ensure that any change of the input, whether by shifting or scaling, results in a corresponding change in the system response. While deep neural networks are gradually replacing all traditional automatic processing methods, they surprisingly do not guarantee such normalization-equivariance (scale + shift) property, which can be detrimental in many applications. To address this issue, we propose a methodology for adapting existing neural networks so …

abstract application arxiv change cs.cv denoising image information networks neural networks normalization processing scaling systems type