• DocumentCode
    1905388
  • Title

    Image Fusion Combining Frequency Domain Techniques Based on Focus

  • Author

    Albuquerque, H.R. ; Ren, T.I. ; Cavalcanti, G.D.C.

  • Author_Institution
    Center for Inf., Fed. Univ. of Pernambuco, Recife, Brazil
  • Volume
    1
  • fYear
    2012
  • fDate
    7-9 Nov. 2012
  • Firstpage
    757
  • Lastpage
    762
  • Abstract
    Image focus is a property closely related to image quality. In some images it is not possible to obtain a clear focus in all regions simultaneously, so an alternative is to use image fusion to combine pictures with different focus into one with all the best-focused regions. This paper describes two image fusion algorithms in the frequency domain that are based on focus: Contrast in DCT domain and Spatial Frequency. The algorithms divide the images in fixed size blocks to decide which image should be selected to constitute the final result. Improvements are made to both techniques to decide when to choose an entire block or pixels individually. The proposed approach combines the different techniques (or different settings of a single technique), by comparing evaluation metrics (PSNR) values obtained for each block independently and selecting the technique that performs better for the analyzed block. The final image quality, evaluated using PSNR and RMSE, is superior compared to the results of the individual techniques.
  • Keywords
    discrete cosine transforms; image fusion; DCT domain; PSNR values; RMSE; best-focused regions; evaluation metrics; frequency domain techniques; image fusion algorithms; image quality; spatial frequency; Discrete cosine transforms; Frequency-domain analysis; Image fusion; Image quality; PSNR; DCT; Image fusion; focusing; spatial frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
  • Conference_Location
    Athens
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4799-0227-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2012.107
  • Filename
    6495119