Proceedings ArticleDOI
Noise Suppression in Microwave Imagery by Exploitation of the MTF Approach to Human Vision
A.P. Anderson,P.R. Armstrong,J.C. Bennett,J.E.W. Mayhew +3 more
- pp 112-116
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TLDR
A technique is described in which an unrecognizable microwave image distribution is processed to yield a clearly identifiable target shape, and a suitable filtering function compatible with the human modulation transfer function, noise and object spectral distributions is designed.Abstract:
Optimised presentation of images from a microwave holographic system is essential, particularly the suppression of the effects of noise on the human visual system. Recent research into the human visual system has led to Fourier models of the visual cortex, and the proposition that object recognition is possible on relatively few critical low spatial frequency components. It is therefore possible to suppress interfering noise without losing essential object information by designing a suitable filtering function compatible with the human modulation transfer function, noise and object spectral distributions. A technique is described in which an unrecognizable microwave image distribution is processed to yield a clearly identifiable target shape.read more
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Journal ArticleDOI
Contrast constancy: deblurring in human vision by spatial frequency channels.
Mark A. Georgeson,G.D. Sullivan +1 more
TL;DR: It is argued that spatial frequency channels in the visual cortex are organized to compensate for earlier attenuation, and achieves a dramatic 'deblurring' of the image, and optimizes the clarity of vision.
Journal ArticleDOI
Masking in Visual Recognition: Effects of Two-Dimensional Filtered Noise
Leon D. Harmon,Bela Julesz +1 more
TL;DR: Experiments reported here show instead that noise bands that are spectrally adjacent to the picture's spectrum are considerably more effective in suppressing recognition.
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