A Gaussian derivative-based transform

The article describes a new image transform that decomposes an image using a set of Gaussian derivatives. The basis functions themselves have been shown to effectively model the measured receptive fields of simple cells in the mammalian visual cortex. Based on these functions, it can be expected tha...

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Bibliographic Details
Published inIEEE transactions on image processing Vol. 5; no. 3; pp. 551 - 553
Main Authors Bloom, J.A., Reed, T.R.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.03.1996
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Brain modeling
Exact sciences and technology
Gabor filters
Humans
Image coding
Image processing
Image sequences
Information, signal and communications theory
Mechanical factors
Polynomials
Quantization
Signal processing
Telecommunications and information theory
Visual system
Gaussian distribution
Visual system
Digital image
Image processing
Coding
Data compression
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Summary:The article describes a new image transform that decomposes an image using a set of Gaussian derivatives. The basis functions themselves have been shown to effectively model the measured receptive fields of simple cells in the mammalian visual cortex. Based on these functions, it can be expected that this transform can provide a mechanism for exploiting the properties of the human visual system in image processing algorithms.
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ISSN:1057-7149
1941-0042
DOI:10.1109/83.491330