Detecting Edges in Noisy Multimedia Environments

This paper examines the process of detecting edges using partial derivatives of Boolean functions in noisy multimedia environments. Applicable to binary and multi-bit (grayscale) data, this novel approach examines the binary representation of the original data to reconstruct edge locations within th...

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Bibliographic Details
Main Authors: Danahy, E.E., Agaian, S.S., Panetta, K.A.
Format: Conference Proceeding
Language:English
Subjects:
Boolean functions
Detectors
Filters
Gray-scale
Image edge detection
Image generation
Image reconstruction
Layout
Signal processing
Working environment noise
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Summary:This paper examines the process of detecting edges using partial derivatives of Boolean functions in noisy multimedia environments. Applicable to binary and multi-bit (grayscale) data, this novel approach examines the binary representation of the original data to reconstruct edge locations within the scene. Competitive with traditional detectors in noise-free situations, the strength is its ability to detect edges in corrupted signals with no need for pre-filtering. Evaluation is performed on several synthetic and natural 2D images corrupted with impulse noise
DOI:10.1109/ISM.2006.59