You Only Need 80k Parameters to Enhance Image: Learning Periodic Features for Image Enhancement

Author:

Dang Jia-chen1,Zhong Yong1,Wang Li-shun1

Affiliation:

1. Chinese Academy of Sciences,Chengdu Institute of Computer Applications,China

Publisher

IEEE

Reference22 articles.

1. Handwritten digit recognition using multilayer feedforward neural networks with periodic and monotonic activation functions;wong;2002 International Conference on Pattern Recognition,2002

2. Learning photographic global tonal adjustment with a database of input/output image pairs;bychkovsky;CVPR 2011,2011

3. Using Fourier-neural recurrent networks to fit sequential input/output data

4. Taming the Waves: Sine as Activation Function in Deep Neural Networks;parascandolo;URL https openreview net forum and 2016,2016

5. You only need 90k parameters to adapt light: a light weight transformer for image enhancement and exposure correction;cui;33rd British Machine Vision Conference 2022 BMVC 2022,2022

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