Reconstructing Irregularly Sampled Images by Neural Networks

Albert J. Ahumada Jr.; John I. Yellott Jr.

doi:10.1117/12.952721

15 August 1989 Reconstructing Irregularly Sampled Images by Neural Networks

Albert J. Ahumada Jr., John I. Yellott Jr.

Proceedings Volume 1077, Human Vision, Visual Processing, and Digital Display; (1989) https://doi.org/10.1117/12.952721
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

Neural-network-like models of receptor position learning and interpolation function learning are being developed as models of how the human nervous system might handle the problems of keeping track of the receptor positions and interpolating the image between receptors. These models may also be of interest to designers of image processing systems desiring the advantages of a retina-like image sampling array.

Citation Download Citation

Albert J. Ahumada Jr. and John I. Yellott Jr. "Reconstructing Irregularly Sampled Images by Neural Networks", Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); https://doi.org/10.1117/12.952721

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