Browsing College of Arts and Sciences by Subject "Image enhancement"

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Browsing College of Arts and Sciences by Subject "Image enhancement"

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  • Adaptive Nonlocal Filtering: A Fast Alternative to Anisotropic Diffusion for Image Enhancement
    Fischl, Bruce; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    The goal of many early visual filtering processes is to remove noise while at the same time sharpening contrast. An historical succession of approaches to this problem, starting with the use of simple derivative and smoothing ...
  • The Local Structure of Space-Variant Images
    Fishl, Bruce; Schwartz, Eric L.; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    Local image structure is widely used in theories of both machine and biological vision. The form of the differential operators describing this structure for space-invariant images has been well documented (e.g. Koenderink, ...
  • A Neural Network for Enhancing Boundaries and Surfaces in Synthetic Aperture Radar Images
    Mingolla, Ennio; Ross, William; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-01)
    A neural network system for boundary segmentation and surface representation, inspired by a new local-circuit model of visual processing in the cerebral cortex, is used to enhance images of range data gathered by a synthetic ...
  • Real-Time Anisotropic Diffusion using Space-Variant Vision
    Fischl, Bruce; Schwartz, Eric L.; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructed by convolution of visual input with ...

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