• DocumentCode
    2073877
  • Title

    Qualitative Comparitive Data Fusion Analysis to Multiresolution Approach

  • Author

    Senthilkumar, S. ; Muttan, S. ; Ragunathan, G.

  • Author_Institution
    St. Joseph´´s Coll. of Eng., Chennai
  • fYear
    2007
  • fDate
    27-30 June 2007
  • Firstpage
    356
  • Lastpage
    360
  • Abstract
    Extracting more information from multi source images is an attractive thing in remotely sensed image processing, which is recently called data fusion. There are many image fusion methods so far, such as IHS, PCA, WT, GLP etc. Among these methods WT and GLP methods can preserve more image spectral characters than others. So here we adopt wavelet method (as it is proposed to improve the geometric resolution of the images) and prove how it is better than GLP using qualitative and statistical data. Generally, in multi resolution analysis, the images are decomposed into low and high frequency parts and then using different fusion rules, the low frequency parts alone are fused while the high frequency information such as edges, borders, corners etc. are unpreserved. So the resultant image is not accurate. Here we adopt a novel approach to decompose the original images into high and low frequency parts to the smallest pixel (to get high resolution) and then fuse both the parts separately using different fusion rules to get an accurate and high resolution image with greater details. The results are applied to different fields and verified on the basis of qualitative and quantitative analysis.
  • Keywords
    image processing; sensor fusion; GLP methods; image processing; multi source images; multiresolution; qualitative comparitive data fusion; wavelet transformation; Data analysis; Data mining; Frequency; Image analysis; Image fusion; Image processing; Image resolution; Information analysis; Pixel; Principal component analysis; GLP; Wavelet transformation; data fusion; pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on
  • Conference_Location
    Maribor
  • Print_ISBN
    978-961-248-029-5
  • Electronic_ISBN
    978-961-248-029-5
  • Type

    conf

  • DOI
    10.1109/IWSSIP.2007.4381115
  • Filename
    4381115