Spatially variant convolution with scaled B-splines

IEEE Transactions on Image Processing

Volumn 19, Issue 1, 2010, Pages 11-24

  Munoz Barrutia, Arrate ^a   Artaechevarria, Xabier ^a   Ortiz de Solorzano, Carlos ^a  

^a UNIVERSITY OF NAVARRA   (Spain)

Author keywords

B spline; Boundary conditions; Finite differences; Perceptual metrics; Ridge detection; Scale map; Smoothing; Steerable filtering

Indexed keywords

ADAPTIVE NOISE; B SPLINES; B-SPLINE; B-SPLINE BASIS; CONVOLUTION APPROACH; EFFICIENT ALGORITHM; FINITE DIFFERENCE; HIGH SENSITIVITY; INNER PRODUCT; INPUT SIGNAL; KERNEL SIZE; LOCAL IMAGE CHARACTERISTIC; PERCEPTUAL METRICS; SCALE VALUE; SCALING FACTORS; TENSOR PRODUCTS;

ALGORITHMS; BOUNDARY CONDITIONS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL EFFICIENCY; CONVOLUTION; DETECTORS; FINITE DIFFERENCE METHOD; SHIP PROPELLERS; SIGNAL DETECTION; TENSORS;

SPLINES;

ALGORITHM; ANIMAL; ARTICLE; CYTOSKELETON; HEAD; HISTOLOGY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; LUNG; METHODOLOGY; MICRO-COMPUTED TOMOGRAPHY; MOUSE; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOGRAPHY; ULTRASTRUCTURE;

ALGORITHMS; ANIMALS; CYTOSKELETON; HEAD; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; MAGNETIC RESONANCE IMAGING; MICE; NORMAL DISTRIBUTION; PHANTOMS, IMAGING; X-RAY MICROTOMOGRAPHY;

EID: 72949121955     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2031235     Document Type: Article

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