Outlier detection for multi-sensor super-resolution in hybrid 3D endoscopy

Informatik aktuell

Volumn , Issue , 2014, Pages 84-89

  Köhler, Thomas ^a   Haase, Sven ^a   Bauer, Sebastian ^a   Wasza, Jakob ^a   Kilgus, Thomas ^b   Maier Hein, Lena ^b   Feußner, Hubertus ^c   Hornegger, Joachim ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA HANDLING; ENDOSCOPY; IMAGE PROCESSING; OPTICAL RESOLVING POWER; PHOTOMETRY; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; STATISTICS;

CORRELATION ANALYSIS; DISPLACEMENT FIELD; LOW SIGNAL-TO-NOISE RATIO; MINIMALLY INVASIVE SURGERY; RE-WEIGHTED LEAST SQUARES; SIGNALTONOISE RATIO (SNR); SPATIAL RESOLUTION; SUB-PIXEL DISPLACEMENTS;

ITERATIVE METHODS;

EID: 84908663513     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-54111-7_20     Document Type: Conference Paper

References (7)

1. Haase S, Forman C, Kilgus T, et al. ToF/RGB sensor fusion for 3-D endoscopy. Curr Med Imaging Rev. 2013;9:113–9.
2. Park SC, Park MK, Kang MG. Super-resolution image reconstruction: a technical overview. IEEE Signal Process Mag. 2003;20(3):21–36.
3. Wetzl J, Taubmann O, Haase S, et al. GPU-Accelerated time-of-flight superresolution for image-guided surgery. Proc BVM. 2013; p. 21–6.
4. Köhler T, Haase S, Bauer S, et al. ToF meets RGB: novel multi-sensor superresolution for hybrid 3-D Endoscopy. Proc MICCAI. 2013;8149:139–46.
5. Farsiu S, Robinson MD, Elad M, et al. Fast and robust multiframe super resolution. IEEE Trans Image Process. 2004;13(10):1327–44.
6. Zhao W, Sawhney HS. Is super-resolution with optical flow feasible? Proc ECCV. 2002;2350:599–613.
7. Scales JA, Gersztenkorn A. Robust methods in inverse theory. Inverse Probl. 1988;4(4):1071–91.