Paper
28 December 1981 Information Density And Efficiency Of Two-Dimensional (2-D) Sampled Imagery
F. O. Huck, S. K. Park, D. E. Speray, N. Halyo
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Abstract
Information density and efficiency (i.e., the ratio of information density to data density) are used as criteria for assessing the quality of 2-D sampled and quantized imagery as a function of the statistical properties of random radiance fields, the spatial response (PSF or MTF) and sensitivity of imaging systems, and the sampling and quantization intervals. Computational results are intuitively satisfying: they are consistent with experimental and theoretical results obtained by earlier investigators concerned with the performance of TV cameras, and they provide useful guidelines for optimizing the design of line-scan and sensor-array imaging systems, especially if these systems use a digital communication link for transmitting data.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. O. Huck, S. K. Park, D. E. Speray, and N. Halyo "Information Density And Efficiency Of Two-Dimensional (2-D) Sampled Imagery", Proc. SPIE 0310, Image Quality, (28 December 1981); https://doi.org/10.1117/12.932849
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Cited by 5 scholarly publications.
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KEYWORDS
Point spread functions

Imaging systems

Quantization

Modulation transfer functions

Sensors

Image quality

Interference (communication)

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