Observer Performance Measured against Hybrid Compressed Video Imagery.
ARMY ELECTRONICS RESEARCH AND DEVELOPMENT COMMAND FORT BELVOIR VA NIGHT VISION AND ELECTRO-OPTICS LABS
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A study was conducted in which the effects of bits per pixel reductions on target detection and recognition were measured. A hybrid DCTDPCM compression algorithm was used to manipulate the bit-per-pixel reduction rate. The algorithm was implemented in the form of a software simulation package on a general-purpose minicomputer facility. Using this facility, real-time imagery was reduced from analog to 8- and 2-bit-per-pixel levels at 1-frame-per-second update rates. Observers were asked to detect and recognize targets located in the imagery. Average detection and recognition slant ranges were calculated for each target and compression level. No significant differences in performance were noted due to the different compression levels. Author
- Human Factors Engineering and Man Machine Systems
- Radio Communications