Paper
19 May 1992 Progressive image transmission and reconstruction
Michael S. V. Turner
Author Affiliations +
Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992) https://doi.org/10.1117/12.58311
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
Abstract
This paper describes a study in which several progressive image transmission and reconstruction (PITAR) methods were used to evaluate the Logical Bit-Slice technique, which was developed during this study. As defined in this paper, a method identifies which pixels are to be manipulated and a technique defines how those pixels are to be manipulated. The objective was to determine an efficient technique of extracting partial image information to improve image reconstruction. The measure was to identify which method resulted in the most recognizable image sequence with the least number of transmitted bits. The Logical Bit-Slice technique was incorporated into classical methods, e.g., Zig-Zag method, to create respective modified methods, e.g., Zig-Bit method. A feature of the Logical Bit-Slice technique is that it enables the signal-to-noise ratio of the reconstructed image to be adaptively set to a user- determined values. The principal conclusion was that incorporation of the Logical Bit-Slice technique into existing methods improved PITAR performance with minimal additional processing and complexity. Furthermore, the modified Block method, i.e., the Block-Bit method, provided superior visual reconstruction of high-contrast images.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael S. V. Turner "Progressive image transmission and reconstruction", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); https://doi.org/10.1117/12.58311
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KEYWORDS
Logic

Image transmission

Signal to noise ratio

Image processing

Image restoration

Visualization

Detection and tracking algorithms

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