An l(0)-overlapping group sparse total variation for impulse noise image restoration

• Main Authors: Yin, Mingming, Adam, Tarmizi, Paramesran, Raveendran, Hassan, Mohd Fikree
• Format: Article
• Published: Elsevier 2022
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/43076/

Total variation (TV) based methods are effective models in image restoration. For eliminating impulse noise, an effective way is to use the l(1)-norm total variation model. However, the TV image restoration always yields staircase artifacts, especially in high-density noise levels. Additionally, the...