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IEEE Transactions on Image Processing

Issue 12 • Date Dec 1996

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Displaying Results 1 - 6 of 6
  • Adaptive LMS L-filters for noise suppression in images

    Publication Year: 1996, Page(s):1596 - 1609
    Cited by:  Papers (29)  |  Patents (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2572 KB)

    Several adaptive least mean squares (LMS) L-filters, both constrained and unconstrained ones, are developed for noise suppression in images and compared in this paper. First, the location-invariant LMS L-filter for a nonconstant signal corrupted by zero-mean additive white noise is derived. It is demonstrated that the location-invariant LMS L-filter can be described in terms of the generalized lin... View full abstract»

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  • A binary wavelet decomposition of binary images

    Publication Year: 1996, Page(s):1637 - 1650
    Cited by:  Papers (59)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1264 KB)

    We construct a theory of binary wavelet decompositions of finite binary images. The new binary wavelet transform uses simple module-2 operations. It shares many of the important characteristics of the real wavelet transform. In particular, it yields an output similar to the thresholded output of a real wavelet transform operating on the underlying binary image. We begin by introducing a new binary... View full abstract»

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  • Image compression using binary space partitioning trees

    Publication Year: 1996, Page(s):1610 - 1624
    Cited by:  Papers (39)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2904 KB)

    For low bit-rate compression applications, segmentation-based coding methods provide, in general, high compression ratios when compared with traditional (e.g., transform and subband) coding approaches. In this paper, we present a new segmentation-based image coding method that divides the desired image using binary space partitioning (BSP). The BSP approach partitions the desired image recursively... View full abstract»

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  • Fast curve estimation using preconditioned generalized Radon transform

    Publication Year: 1996, Page(s):1651 - 1661
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1200 KB)

    A new algorithm for fast curve parameter estimation based on the generalized Radon transform is proposed. The algorithm works on binary images, obtained, e.g., by edge filtering or deconvolution. The fundamental idea of the suggested algorithm is the use of a precondition map to reduce the computational cost of the generalized Radon transform. The precondition map is composed of irregular regions ... View full abstract»

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  • Segmentation of Gabor-filtered textures using deterministic relaxation

    Publication Year: 1996, Page(s):1625 - 1636
    Cited by:  Papers (51)  |  Patents (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2672 KB)

    A supervised texture segmentation scheme is proposed in this article. The texture features are extracted by filtering the given image using a filter bank consisting of a number of Gabor filters with different frequencies, resolutions, and orientations. The segmentation model consists of feature formation, partition, and competition processes. In the feature formation process, the texture features ... View full abstract»

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  • The convergence of mean field procedures for MRFs [image processing]

    Publication Year: 1996, Page(s):1662 - 1665
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    Convergence of the mean field equations is analyzed for the Ising model with a nonhomogeneous external field. When β is small, the equations are a contraction mapping and thereby convergent. When β is large, however, they can be noncontracting and in this case, contraction is restored by a slight modification of the equations View full abstract»

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Aims & Scope

IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing.

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Editor-in-Chief
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu 
Phone: +1 434-982-2003