Subpixel resolution in maximum likelihood image restoration

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2984, Issue , 1997, Pages 158-168

  Conchello, José Angel ^a   McNally, James G ^a,b  

^a WASHINGTON UNIVERSITY   (United States)

^b WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Expectation maximization; Maximum likelihood; Missing information; Sub pixel resolution; Super resolution

Indexed keywords

APPROXIMATION ALGORITHMS; BLIND SOURCE SEPARATION; CAMERAS; CCD CAMERAS; CHARGE COUPLED DEVICES; DIGITAL CAMERAS; DISKS (STRUCTURAL COMPONENTS); FLUORESCENCE; FUNCTIONS; IMAGE ACQUISITION; IMAGE CODING; IMAGE RECONSTRUCTION; IMAGE RECORDING; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD; MAXIMUM PRINCIPLE; MERGERS AND ACQUISITIONS; OPTICAL RESOLVING POWER; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; THREE DIMENSIONAL;

COMPUTATIONAL LOADS; DIFFRACTION LIMITEDS; EXPECTATION-MAXIMIZATION; FLUORESCENT DYES; IMAGE FORMATIONS; IMAGE RESTORATIONS; MICROSCOPICAL IMAGES; MISSING INFORMATION; NYQUIST CRITERIONS; NYQUIST SAMPLINGS; PIXEL SIZES; SIMPLIFYING ASSUMPTIONS; SINGLE PIXELS; SPACE PROCESSES; SUB-PIXEL RESOLUTION; SUBPIXEL RESOLUTIONS; SUPER-RESOLUTION;

PIXELS;

EID: 0037917101     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.271261     Document Type: Conference Paper

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