This paper treats the compression of Synthetic Aperture Radar (SAR) imagery. SAR images are difficult to compress, relative to natural images, because SAR contains an inherent high frequency speckle. Today's state-of-the-art coders are designed to work with natural images, which have a lower frequency content. Thus, their performance on SAR is under par. In this paper we give an overview performance report on the popular compression techniques, and investigate three approaches to improve the quality of SAR compression at low-bit rates. First, we look at the design of optimal quantizers which we obtain by training on SAR data. Second, we explore the use of perceptual properties of the human visual system to improve subjective coding quality. Third, we consider the use of a model that separates the SAR image into structural and textural components. The paper concludes with a subjective evaluation of the algorithms based on the CCIR recommendation for the assessment of picture quality.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Perceptual image compression for data transmission on the battlefield


    Contributors:
    Gonzalez, J.G. (author) / Smith, M.J. (author) / Hontsch, I. (author) / Karam, L. (author) / Namuduri, K.R. (author) / Szu, H.H. (author)


    Publication date :

    1998


    Size :

    12 Seiten, 16 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Network-conscious compressed image transmission over battlefield networks

    Iren, S. / Amer, P.D. / Caro, A. et al. | Tema Archive | 1998


    Battlefield data fusion

    Naylor, R.T. | Tema Archive | 1987


    Perceptual wavelet scheme for image compression [4299-11]

    Zhu, S. Y. / Plataniotis, K. N. / Venetsanopoulos, A. N. et al. | British Library Conference Proceedings | 2001


    Battlefield communications

    Tema Archive | 1979


    AAC Battlefield Helicopters

    Online Contents | 1994