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A NOVEL IMAGE FUSION SCHEME FOR FTV VIEW SYNTHESIS BASED ON LAYERED
DEPTH SCENE REPRESENTATION & SCALE PERIODIC TRANSFORM
Mansi Sharma, Gowtham Ragavan
Department of Electrical Engineering
Indian Institute of Technology Madras, India
● Novel approach for layered depth computation of the scene
- Represent reference images as scale periodic functions
- Utilize unique properties of scale transform
- Depth map computation as a certain shift-variant problem
● Novel image fusion for view interpolation
- Suppress geometric, blurring or flicker artifacts
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A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
Ham et al.
Probability-Based
Rendering for
View Synthesis.
in IEEE TIP, 23(2),
pp. 870-884,
2014.
Ham et al.
Probability-Based
Rendering for
View Synthesis.
in IEEE TIP, 23(2),
pp. 870-884,
2014.
J. Dai and T. Nguyen.
View synthesis with
hierarchical clustering
based occlusion filling.
IEEE ICIP, Beijing,
2017, pp. 1387-1391.
Jain et al. Efficient
stereo-to-multiview
synthesis. ICASSP,
Prague, 2011, pp.
889-892.
Proposed
A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform
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A Novel Image Fusion Scheme for FTV View Synthesis based on Layered Depth Scene Representation & Scale Periodic Transform