Can anyone help me understand these functions described in the paper Noise2Noise: Learning Image Restoration without Clean Data
I have read the portion A.4 in the appendix but need a more detailed and easier to understand explanation. Especially where signum or sign function (sgn) is coming from along with other explanations.
(10),(11),(12)