A Convex Adaptive Total Variation Model Based on the Gray Level Indicator for Multiplicative Noise Removal

Table 1

Parameters used in the comparison study.

Algorithm	Parameters
	𝐿=1	𝐿=4	𝐿=10
	The synthetic image (300×300)
𝛼-TV	𝜎=2,𝑘=0.05	𝜎=2,𝑘=0.05	𝜎=2,𝑘=0.05
𝑝-LA	𝑝𝑈=1.3	𝑝𝑈=1.3	𝑝𝑈=1.2
SO	𝜆=0.1,𝛼=0.25	𝜆=0.7,𝛼=0.25	𝜆=0.2,𝛼=0.25
AA	𝜆=20	𝜆=150	𝜆=240
	The aerial image (512×512)
𝛼-TV	𝜎=2,𝑘=0.03	𝜎=2,𝑘=0.015	𝜎=2,𝑘=0.015
𝑝-LA	𝑝𝑈=1.4	𝑝𝑈=1.4	𝑝𝑈=1.4
SO	𝜆=0.1,𝛼=0.25	𝜆=0.3,𝛼=0.25	𝜆=1.2,𝛼=0.25
AA	𝜆=25	𝜆=120	𝜆=130
	The cameraman image (256×256)
𝛼-TV	𝜎=2,𝑘=0.005	𝜎=2,𝑘=0.005	𝜎=2,𝑘=0.005
𝑝-LA	𝑝𝑈=1.3	𝑝𝑈=1.2	𝑝𝑈=1.2
SO	𝜆=0.04,𝛼=0.25	𝜆=0.2,𝛼=0.25	𝜆=1,𝛼=0.25
AA	𝜆=125	𝜆=240	𝜆=390