Table 1.

Parameter settings for experiments.

Parameter		Images
		Brain A	Brain B	Brain C
Network hyperparameters	Learning rate	0.01	0.01	0.01
	L	6	6	6
	n d	[16, 32, 64, 64, 128, 128]	[32, 32, 64, 128, 128, 128]	[32, 32, 64, 128, 128, 128]
	n u	[16, 32, 64, 64, 128, 128]	[32, 32, 64, 128, 128, 128]	[32, 32, 64, 128, 128, 128]
	n s	[16,16,16,16,16,16]	[16,16,16,16,16,16]	[16,16,16,16,16,16]
	k d	[3,3,3,3,3,3]	[3,3,3,3,3,3]	[3,3,3,3,3,3]
	k u	[3,3,3,3,3,3]	[3,3,3,3,3,3]	[3,3,3,3,3,3]
	k s	[1,1,1,1,1,1]	[1,1,1,1,1,1]	[1,1,1,1,1,1]
Iteration number	MaxIt	50	50	50
	SubIt	100	100	100
Wavelet parameters	Wavelet function	Haar	Haar	Haar
	Decomposition level	8	6	6
ρ		0.07	0.05	0.05
λ		0.0001	0.0001	0.0001