By Topic

IEEE Transactions on Image Processing

Issue 5 • May 1995

Filter Results

Displaying Results 1 - 18 of 18
  • Robust adaptive estimator for filtering noise in images

    Publication Year: 1995, Page(s):693 - 699
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (792 KB)

    Provides three new methods for storing images corrupted by additive noise. One is the adaptive mean median filter for preserving the details of images when restored from additive Gaussian noise. Another is the minimum-maximum method for moving outlier noise. The third method, the robust adaptive mean p-median filter, is based on a combination of the previous two methods. In the past, proposed rest... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Improvement on performance of modified Hopfield neural network for image restoration

    Publication Year: 1995, Page(s):688 - 692
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (492 KB)

    By analyzing the same inequality ||u*||1⩽½trace(T), the authors conclude that a severely blurred image is generally restored less accurately than a mildly blurred one by the modified Hopfield neural network. This conclusion is the opposite of the statement made in Paik and Katsaggelos (1992). The authors also propose an improved new algorithm. Simulation results show that the... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Wavelet transform and scale space filtering of fractal images

    Publication Year: 1995, Page(s):682 - 687
    Cited by:  Papers (9)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    In this correspondence, we consider wavelet transform and scale space filtering as special cases of general scale shift mapping (SSM). Then, the SSM is used as a tool for characterizing the geometrical complexity of uniform fractals. This tool can reveal the construction rule of fractals and estimate fractal dimension. Finally, we use the results obtained from scale shift mapping to estimate itera... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An error concealment algorithm for images subject to channel errors

    Publication Year: 1995, Page(s):533 - 542
    Cited by:  Papers (75)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1348 KB)

    We present an algorithm to conceal bit errors in still images and image sequences that are coded using the discrete cosine transform (DCT) and variable length codes (VLCs). No modification is necessary to an existing encoder, and no additional bit rate is required. The concealment algorithm is kept simple so that real-time decoding and concealment is possible. A single bit error in these images ca... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Optimal scan for time-varying tomography. II. Efficient design and experimental validation

    Publication Year: 1995, Page(s):654 - 666
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1464 KB)

    For pt.I see ibid., vol.4, no.5, p.642-53 (1995). In pt.I the authors presented a theoretical analysis of tomographic reconstruction of objects with spatially localized temporal variation, such as a thorax cross section with a beating heart. That analysis showed that by using an optimally scrambled angular sampling order, the scan rate required to avoid motion artifacts in the reconstructed images... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive fuzzy multilevel median filter

    Publication Year: 1995, Page(s):680 - 682
    Cited by:  Papers (51)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB)

    A modified multilevel median filter (MLMF) incorporating the fuzzy associative memory (FAM) system is proposed in this correspondence. The modified method-the adaptive fuzzy multilevel median filter (AFMMF)-overcomes some disadvantages common to most of the conventional MLMF. Experimental results demonstrated that the performance of the AFMMF is superior to that of conventional MLMF in dealing wit... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Rigid body constrained noisy point pattern matching

    Publication Year: 1995, Page(s):630 - 641
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1008 KB)

    Noisy pattern matching problems arise in many areas, e.g., computational vision, robotics, guidance and control, stereophotogrammetry, astronomy, genetics, and high-energy physics. Least-squares pattern matching over the Euclidean space En for unordered sets of cardinalities p and q is commonly formulated as a combinatorial optimization problem having complexity p(p-1)··&m... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • General choice of the regularization functional in regularized image restoration

    Publication Year: 1995, Page(s):594 - 602
    Cited by:  Papers (137)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (876 KB)

    The determination of the regularization parameter is an important issue in regularized image restoration, since it controls the trade-off between fidelity to the data and smoothness of the solution. A number of approaches have been developed in determining this parameter. In this paper, a new paradigm is adopted, according to which the required prior information is extracted from the available dat... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A new look at spotlight mode synthetic aperture radar as tomography: imaging 3-D targets

    Publication Year: 1995, Page(s):699 - 703
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (492 KB)

    A new 3D tomographic formulation of spotlight mode synthetic aperture radar (SAR) is developed. This extends the pioneering work of Munson et al. (1983), who first formally described SAR in terms of tomography but who made the simplifying assumption that the target scene was 2D. The present authors treat the more general and practical case in which the radar target reflectivities comprise a 3D fun... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Subband coding systems incorporating quantizer models

    Publication Year: 1995, Page(s):543 - 553
    Cited by:  Papers (39)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1368 KB)

    A new method for dealing with the effects of quantization in a subband system is proposed. It uses the “gain plus additive noise” linear model for the Lloyd-Max quantizer. Based on this, it is demonstrated how, by an appropriate choice of synthesis filters, one can cancel all signal-dependent errors at the output of the system. The only remaining error is random in nature and not corre... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Phase unwrapping of MR phase images using Poisson equation

    Publication Year: 1995, Page(s):667 - 676
    Cited by:  Papers (94)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1244 KB)

    The authors have developed a technique based on a solution of the Poisson equation to unwrap the phase in magnetic resonance (MR) phase images. The method is based on the assumption that the magnitude of the inter-pixel phase change is less than π per pixel. Therefore, the authors obtain an estimate of the phase gradient by “wrapping” the gradient of the original phase image. The pr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations

    Publication Year: 1995, Page(s):642 - 653
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1188 KB)

    The authors consider the tomographic reconstruction of objects with spatially localized temporal variation, such as a thorax cross section with a beating heart. The conventional scan format, in which projections are taken progressively around the object, requires high and sometimes infeasible scan rates to avoid motion artifacts in the reconstructed images. The authors formulate the problem of dat... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Unsupervised texture segmentation using multichannel decomposition and hidden Markov models

    Publication Year: 1995, Page(s):603 - 619
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1836 KB)

    In this paper, we describe an automatic unsupervised texture segmentation scheme using hidden Markov models (HMMs). First, the feature map of the image is formed using Laws' micromasks and directional macromasks. Each pixel in the feature map is represented by a sequence of 4-D feature vectors. The feature sequences belonging to the same texture are modeled as an HMM. Thus, if there are M differen... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A new algorithm for image noise reduction using mathematical morphology

    Publication Year: 1995, Page(s):554 - 568
    Cited by:  Papers (74)  |  Patents (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2372 KB)

    Morphological openings and closings are useful for the smoothing of gray-scale images. However, their use for image noise reduction is limited by their tendency to remove important, thin features from an image along with the noise. The paper presents a description and analysis of a new morphological image cleaning algorithm (MIC) that preserves thin features while removing noise. MIC is useful for... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A set of transformations for lossless image compression

    Publication Year: 1995, Page(s):677 - 679
    Cited by:  Papers (3)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    Based on the property of binary arithmetic operations and the spatial probability distribution of the prediction error, a set of transformations is proposed for the lossless image compression. The bit plane coding technique is used in the transformed image. The transformations are easily implementable. Experimental results show that these transformations are useful View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Partial eigenvalue decomposition of large images using spatial temporal adaptive method

    Publication Year: 1995, Page(s):620 - 629
    Cited by:  Papers (27)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1052 KB)

    Finding eigenvectors of a sequence of real images has usually been considered to require too much computation to be practical. Our spatial temporal adaptive (STA) method reduces the computational complexity of the approximate partial eigenvalue decomposition based on image encoding. Spatial temporal encoding is used to reduce storage and computation, and then, singular value decomposition (SVD) is... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A robust nonlinear filter for image restoration

    Publication Year: 1995, Page(s):569 - 578
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1056 KB)

    A class of nonlinear regression filters based on robust estimation theory is introduced. The goal of the filtering is to recover a high-quality image from degraded observations. Models for desired image structures and contaminating processes are employed, but deviations from strict assumptions are allowed since the assumptions on signal and noise are typically only approximately true. The robustne... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Solution of inverse problems in image processing by wavelet expansion

    Publication Year: 1995, Page(s):579 - 593
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1492 KB)

    We describe a wavelet-based approach to linear inverse problems in image processing. In this approach, both the images and the linear operator to be inverted are represented by wavelet expansions, leading to a multiresolution sparse matrix representation of the inverse problem. The constraints for a regularized solution are enforced through wavelet expansion coefficients. A unique feature of the w... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

Aims & Scope

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

Full Aims & Scope

Meet Our Editors

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