Application of information theory to the design of line-scan imaging systems
Friedrich O. Huck, Langley Research Center, United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch
National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1981 - Technology & Engineering - 36 pages
What people are saying - Write a review
We haven't found any reviews in the usual places.
RADIANCE AND SYSTEM MODELS
1 other sections not shown
account for image analog signal autocovariance binits blurring circular photosensor aperture Computational results data density density and efficiency density h diamond photosensor aperture digital signal discrete signal s(x,y;X,Y due to aliasing electronic filter electronic noise encoding levels entropy equivalent diameter formulations of information Fourier transform Gaussian spot intensity given by equation hj/hs Huck Image degradation due Image Processing Information Capacity information density information per sample Information Theory Langley Research Center line-scan direction line-scan imaging systems line-scan interval log2 mean spatial detail noise and quantization optical-mechanical scanners performance of line-scan photographic film photon-detection mechanisms photosensor aperture shapes probability density function PSF's quantization intervals quantization levels quantization noise radiance field L(x,y random ratio sampling density sampling intervals sampling passband sampling sidebands Scanning Schade SMPTE spatial frequency components spatial frequency response spatial response Stallman statistical properties statistically independent sufficiently band-limited TV cameras upper limit ur/Y variance Wiener spectrum zation