Visual Information Processing for Television and TeleroboticsFriedrich O. Huck, Stephen Keith Park National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989 - Image processing - 270 pages |
Contents
LINEAR DIGITAL IMAGING SYSTEM FIDELITY ANALYSIS | 3 |
MODELBASED QUANTIFICATION OF IMAGE QUALITY | 11 |
OPTIMAL FOCAL PLANE RESTORATION | 23 |
18 other sections not shown
Common terms and phrases
ADPCM algorithm aliasing application approach approximation bandpassed bits camera color compression ratio constraints context dependent contour Cornsweet corresponding data compression degradation detector digital image DPCM edge detection encoding end-to-end entropy equation error fidelity Figure Gaussian gradient Huck Huffman code IDS model image blur image coding image data image gathering image processing image restoration image-gathering system imaging system implementation information density input image intensity interpolation kernel KOL/ON laser ranger linear lossless Mach-band pattern matching mean spatial detail NASA neural network noise nuclear medicine object optical optimal original image output parameters performance photons pixel point spread function predictor processor quantizer radiance field range receptive fields reconstruction filter recovery process rectangles region representation resolution sampling scale scene segmentation sensor shown signal simulated spatial frequencies target Telerobotics transfer function units visual quality Wiener filter zero crossings