A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina

Autor:	Yue, Yang, He, Liuyuan, He, Gan, Liu, Jian. K., Du, Kai, Tian, Yonghong, Huang, Tiejun
Rok vydání:	2018
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing Quantitative Biology - Neurons and Cognition
Druh dokumentu:	Working Paper
Popis:	Photoreceptors in the retina are coupled by electrical synapses called "gap junctions". It has long been established that gap junctions increase the signal-to-noise ratio of photoreceptors. Inspired by electrically coupled photoreceptors, we introduced a simple filter, the PR-filter, with only one variable. On BSD68 dataset, PR-filter showed outstanding performance in SSIM during blind denoising tasks. It also significantly improved the performance of state-of-the-art convolutional neural network blind denosing on non-Gaussian noise. The performance of keeping more details might be attributed to small receptive field of the photoreceptors. Comment: 16 pages, 8 figures, 9 tables, Submitted to NIPS 2018
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1806.05882 Zobrazit plný text záznamu View this record from Arxiv