• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Zhang Can, Tu Guofang, Liu Xiaozhou. Remote Sensing Image Processing Using Wavelet Fractal Interpolation[J]. Journal of Computer Research and Development, 2005, 42(2): 247-251.
Citation: Zhang Can, Tu Guofang, Liu Xiaozhou. Remote Sensing Image Processing Using Wavelet Fractal Interpolation[J]. Journal of Computer Research and Development, 2005, 42(2): 247-251.

Remote Sensing Image Processing Using Wavelet Fractal Interpolation

More Information
  • Published Date: February 14, 2005
  • Considering that the image of natural scenery has fractal character, a wavelet fractal interpolation algorithm is presented, which is applied in remote sensing image processing. The wavelet transform processes the high frequency information and the low frequency information simultaneously, which is like the human visual system. The fractal interpolation algorithm can preserve the texture information of image. So, the wavelet fractal interpolation algorithm uses fractal interpolation algorithm to anticipate the high frequency part on high resolution from the high frequency part on low resolution. It has been found that this new wavelet fractal interpolation has better performance than the existing bilinear interpolation algorithm.
  • Related Articles

    [1]Xu Meng, Wang Sihan, Guo Renzhong, Jia Xiuping, Jia Sen. Review of Cloud Detection and Cloud Removal Methods for Remote Sensing Images[J]. Journal of Computer Research and Development, 2024, 61(6): 1585-1607. DOI: 10.7544/issn1000-1239.202330145
    [2]Fan Qinglan, Zhang Yunfeng, Bao Fangxun, Shen Xiaohong, Yao Xunxiang. An Region Adaptive Image Interpolation Algorithm Based on the NSCT[J]. Journal of Computer Research and Development, 2018, 55(3): 629-642. DOI: 10.7544/issn1000-1239.2018.20160942
    [3]Huang Dongmei, Dai Liang, Wei Lifei, Wei Quanmiao, Wu Guojian. A Secure Outsourced Fusion Denoising Scheme in Multiple Encrypted Remote Sensing Images[J]. Journal of Computer Research and Development, 2017, 54(10): 2378-2389. DOI: 10.7544/issn1000-1239.2017.20170427
    [4]Li Guoqing, Huang Zhenchun. Data Infrastructure for Remote Sensing Big Data: Integration, Management and On-Demand Service[J]. Journal of Computer Research and Development, 2017, 54(2): 267-283. DOI: 10.7544/issn1000-1239.2017.20160837
    [5]Lü Qi, Dou Yong, Niu Xin, Xu Jiaqing, Xia Fei. Remote Sensing Image Classification Based on DBN Model[J]. Journal of Computer Research and Development, 2014, 51(9): 1911-1918. DOI: 10.7544/issn1000-1239.2014.20140199
    [6]Wang Xianghai, Wei Tingting, Zhou Zhiguang, Song Chuanming. Research of Remote Sensing Image Fusion Method Based on the Contourlet Coefficients' Correlativity[J]. Journal of Computer Research and Development, 2013, 50(8): 1778-1786.
    [7]Tang Guowei, Wang Shanshe, Zhang Yan, Zhao Debin. Fractal-Searching-Tree-Based Embedded Wavelet Image Coding[J]. Journal of Computer Research and Development, 2013, 50(7): 1484-1490.
    [8]Dong Jie and Shen Guojie. Remote Sensing Image Classification Based on Fuzzy Associative Classification[J]. Journal of Computer Research and Development, 2012, 49(7): 1500-1506.
    [9]He Chuanjiang, Liu Weisheng, Shen Xiaona. Fast Fractal Image Coding Based on Quincunx Sums of Normalized Blocks[J]. Journal of Computer Research and Development, 2007, 44(12): 2066-2071.
    [10]Wang Xiaomin, Zeng Shenggen, and Xia Deshen. Remote Sensing Image Classification Based on a Loose Modified FastICA Algorithm[J]. Journal of Computer Research and Development, 2006, 43(4): 708-715.

Catalog

    Article views (821) PDF downloads (840) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return