Li Deren, Shao Juliang. Wavelet Models for Image Fusion and Image Restoration[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 213-217.
Citation: Li Deren, Shao Juliang. Wavelet Models for Image Fusion and Image Restoration[J]. Geomatics and Information Science of Wuhan University, 1996, 21(3): 213-217.

Wavelet Models for Image Fusion and Image Restoration

More Information
  • Received Date: November 12, 1995
  • Published Date: March 04, 1996
  • In this paper,a wavlet model is given for image fusion and image restoration.The key point is that the multi resolution character of wavelet is used to decompose a very complex and highly correlated problem into a set of less correlated and easily solved problems.The discussion in this paper is on the theory and algorithm of wavelet models for image fusion and image restoration with simple examples.
  • Related Articles

    [1]GAO Peng, LI Jiatian, YANG Ruchun, ZHANG Zelong, YANG Chao, ZHANG Xingyi. Remote Sensing Images Segmentation Based on Low-Dimensional Texture Feature Operator and Double-Mutant Butterfly Optimization Algorithm[J]. Geomatics and Information Science of Wuhan University, 2023, 48(1): 165-174. DOI: 10.13203/j.whugis20200496
    [2]ZHAN Zongqian, LAI Binghua, WAN Jie, LI Lou. Vegetation Detection of Close-Range Images Based on Texture Features and Naive Bayes Classifier[J]. Geomatics and Information Science of Wuhan University, 2013, 38(6): 665-668.
    [3]YU Xiaomin, ZHAN Feibing, LIAO Mingsheng, HU Jinxing. Object-oriented Feature Selection Algorithms Based on Improved SEaTH Algorithms[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 921-924.
    [4]CHEN Jie, DENG Min, XIAO Pengfeng, YANG Minhua. Texture Segmentation Based on Gabor Filters and Ant Colony Optimization Algorithm[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1271-1274.
    [5]LI Zuchuan, MA Jianwen, ZHANG Rui, LI Liwei. Extracting Damaged Buildings Information Automatically Based on Textural and Morphological Features[J]. Geomatics and Information Science of Wuhan University, 2010, 35(4): 446-450.
    [6]YANG Liu, LIU Yanfang. Feature Subset Selection for Driving Forces of Cultivated Land Based on PSO-SVM[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 248-251.
    [7]TAO Yang, TANG Guoan, WANG Chun, SUN Jinglu. Influence of DEM Subset Partition on Terrain Information Content[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1463-1466.
    [8]JIN Shuying, LI Deren, GONG Jianya. Linear Combination of Texture Features Based on Partial Least Square Regression[J]. Geomatics and Information Science of Wuhan University, 2006, 31(5): 399-402.
    [9]ZHAO Yindi, ZHANG Liangpei, LI Pingxiang. A Texture Classification Algorithm Based on Feature Fusion[J]. Geomatics and Information Science of Wuhan University, 2006, 31(3): 278-281.
    [10]Huang Guilan, Zheng Zhaobao. On the Application of Spatial Gray Level Dependence Method in Image Texture Classification[J]. Geomatics and Information Science of Wuhan University, 1995, 20(4): 301-304.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return