Share Email Print
cover

Proceedings Paper

Human-Readable/Machine-Readable Imagery
Author(s): R. Tuft; J. MacGillivray; J. Frattarola; F. Corbett
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 10 September 1980
PDF: 7 pages
Proc. SPIE 0222, Laser Scanning and Recording for Advanced Image and Data Handling, (10 September 1980); doi: 10.1117/12.958653
Show Author Affiliations
R. Tuft, Itek Corporation Optical Systems Division (United States)
J. MacGillivray, Itek Corporation Optical Systems Division (United States)
J. Frattarola, Itek Corporation Optical Systems Division (United States)
F. Corbett, Itek Corporation Optical Systems Division (United States)


Published in SPIE Proceedings Vol. 0222:
Laser Scanning and Recording for Advanced Image and Data Handling
Albert A. Jamberdino, Editor(s)

© SPIE. Terms of Use
Back to Top