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KSII Transactions on Internet and Information Systems • Vol 10 • No 10
A depth-based Multi-view Super-Resolution Method Using Image Fusion and Blind Deblurring
October 2016 • Jun Fan, Xiangrong Zeng, Qizi Huangpeng, Yan Liu, Xin Long, Jing Feng, Zhou Jing-lun
Multi-view super-resolution (MVSR) aims to estimate a high-resolution (HR) image from a set of low-resolution (LR) images that are captured from different viewpoints (typically by different cameras).MVSR is usually applied in camera array imaging.Given that MVSR is an ill-posed problem and is typically computationally costly, we super-resolve multi-view LR images of the original scene via image fusion (IF) and blind deblurring (BD).First, we reformulate the MVSR problem into two easier problems: an IF problem and …
Computer Science
Artificial Intelligence
Computer Vision
Jazz Fusion
Philosophy