Dictionary Pair Learning on Grassmann Manifolds for Image Denoising

• Main Authors: ZENG, Xianhua, BIAN, Wei, LIU, Wei, SHEN, Jialie, TAO, Dacheng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Image denoising; dictionary pair; 2D sparse coding; Grassmann manifold; smoothing; graph Laplacian operator; Databases and Information Systems; Graphics and Human Computer Interfaces; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3165; https://ink.library.smu.edu.sg/context/sis_research/article/4166/viewcontent/DictionaryPairLearningGrassmannManifoldsImageDenoising_2015.pdf
• Institution: Singapore Management University

Image denoising is a fundamental problem in computer vision and image processing that holds considerable practical importance for real-world applications. The traditional patch-based and sparse coding-driven image denoising methods convert 2D image patches into 1D vectors for further processing. Thu...