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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/112967

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/112967

    Title: Image restoration using hybrid features improvement on morphological component analysis
    Authors: Ts, Der-Chang;Tseng, Der-Chang;Wei, Ru-Yin;Wei, Ru-Yin;陸清達;Lu, Ching-Ta;王玲玲;Wang, Ling-Ling
    Contributors: 資訊傳播學系
    Keywords: Adaptive non-local mean (ANLM);Block matching 3D (BM3D);Image restoration;Morphological component analysis (MCA);Singular value decomposition (SVD)
    Date: 2019-12
    Issue Date: 2020-09-04 15:30:21 (UTC+8)
    Publisher: 亞洲大學
    Abstract: Images are generally corrupted by impulse noise during acquisition and transmission. Noise deteriorates the quality of images. To remove corruption noise, we propose a hybrid approach to restoring a random noise-corrupted image, including a block matching 3D (BM3D) method, an adaptive non-local mean (ANLM) scheme, and the K-singular value decomposition (K-SVD) algorithm. In the proposed method, we employ the morphological component analysis (MCA) to decompose an image into the texture, structure, and edge parts. Then, the BM3D method, ANLM scheme, and K-SVD algorithm are utilized to eliminate noise in the texture, structure, and edge parts of the image, respectively. Experimental results show that the proposed approach can effectively remove interference random noise in different parts; meanwhile, the deteriorated image is able to be reconstructed well.
    Relation: Journal of Electronic Science and Technology
    Appears in Collections:[資訊傳播學系] 期刊論文

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