Paper
15 August 1989 Receptive Fields And Visual Representations
Andrew B. Watson
Author Affiliations +
Abstract
Efficient representation of images for human use requires an understanding of how the brain processes and represents visual information. Spatial imagery is represented in the brain in the receptive fields of visual neurons. Models of these neurons lead to models of image fidelity, and to digital implementations of these neural codes. This approach will be illustrated by two example codes. The advantages and difficulties of this approach will be discussed.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew B. Watson "Receptive Fields And Visual Representations", Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); https://doi.org/10.1117/12.952717
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Visualization

Image compression

Human vision and color perception

Neurons

Visual process modeling

Quantization

Brain

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