Paper
10 September 1980 Human-Readable/Machine-Readable Imagery
R. Tuft, J. MacGillivray, J. Frattarola, F. Corbett
Author Affiliations +
Proceedings Volume 0222, Laser Scanning and Recording for Advanced Image and Data Handling; (1980) https://doi.org/10.1117/12.958653
Event: 1980 Technical Symposium East, 1980, Washington, D.C., United States
Abstract
A recording technique has been developed that allows machine-readable digital information to be encoded within human-readable imagery. Each picture element in the recorded image consists of a square matrix of discrete spots, each spot taking one of several possible optical densities. A specific format consisting of a 2 x 2 spot matrix, with 8 quantization levels per spot, has been investigated in detail. This 2 x 2 x (8) format encodes 12 bits of machine-readable digital information per pixel and can exhibit 330 discrete readable pixel densities. This technique can be used, for example, to record human-readable imagery derived from EO sensors with 10 bits of dynamic range. The full sensor data base could be recovered from the imagery, by use of a suitable reader, without loss of digital information. In addition, collateral information such as height data, annotation, etc., can be encoded within the digital data in machine-retrievable format in a way that does not affect the human-readable information. This paper discusses algorithms developed for mapping the digital data into human-readable pixel densities, some techniques for error correction and pixel identification, and examples of collateral data fusion. Results of a digital data retrieval experiment are presented.
© (1980) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Tuft, J. MacGillivray, J. Frattarola, and F. Corbett "Human-Readable/Machine-Readable Imagery", Proc. SPIE 0222, Laser Scanning and Recording for Advanced Image and Data Handling, (10 September 1980); https://doi.org/10.1117/12.958653
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KEYWORDS
Data storage

Video

Digital recording

Magnetic resonance imaging

Absorbance

Algorithm development

Binary data

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