www.open.ac.uk SCALABLE MULTIVIEW IMAGING
SCIA 2009 Report on Workshop & Tutorial BY: MOBOLAJI AKINOLA SUPERVISORS: PROF. LAURENCE DOOLEY DR. PATRICK WONG
©2009 by Mobolaji Akinola
Workshop On Fusion Techniques • Motivation: – Image Analysis Task hard to solve from single Image • Examples: –Traffic Surveillance, visible no. plates? –Medical Imaging , NMR (Nuclear Magnetic Resonance) gives certain details while PET (Positron Emission Tomography) can give others – Low Resolution Images can be combined to get better resolution?? – Combination of different modes and modalities exploiting where each is better?? • Conclusion – [1.] More images [2.] Combination techniques ©2009 by Mobolaji Akinola
Workshop On Fusion Techniques • Fusion Categories: – Mutiview Fusion, complementary info views – Mutitemporal Fusion, diff views, same scene, diff times » Goal – intermediate stage synthesis
– Multimodal Fusion, Emphasize band specific information » Methods- pixel averaging, object level fusion, transform domains
– Multisetting Fusion, multifocus, different exposure etc – Mutichannel deconvolution, blurr due to diff. convolutions – superesolution
©2009 by Mobolaji Akinola
Multiview fusion Metrodome
B. Zitová and J. Flusser, Image registration methods: A survey, Image and Vision Computing, 21(11): 977-1000, 2003
Multitemporal fusion digital subtraction angiography
Courtesy of Y. Bentoutou et al.
Multimodal fusion medical imaging – pixel averaging
NMR
SPECT
Workshop On Image Quality Measurements • • • •
Present Measures inadequate PSNR Vs Subjective Measure Modeling Human Visual System input of statistical experiments
• Conclusion: – Other metrics at infancy – Promising ongoing experiments ©2009 by Mobolaji Akinola
THANK YOU
©2009 by Mobolaji Akinola