Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84750
Title: Multi-frame super-resolution from observations with zooming motion
Authors: Yap, Kim-Hui
Tian, Yushuang.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Tian, Y., & Yap, K.-H. (2012). Multi-frame super-resolution from observations with zooming motion. 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1257-1260.
Abstract: This paper proposes a new multi-frame super-resolution (SR) approach to reconstruct a high-resolution (HR) image from low-resolution (LR) images with zooming motion. Existing SR methods often assume that the relative motion between acquired LR images consists of only translation and possibly rotation. This restricts the application of these methods in cases when there is zooming motion among the LR images. There are currently only a few methods focusing on zooming SR. Their formulation usually ignores the registration errors or assumes them to be negligible during the HR reconstruction. In view of this, this paper presents a new SR reconstruction approach to handle a more flexible motion model including translation, rotation and zooming. An iterative framework is developed to estimate the motion parameters and HR image progressively. Both simulated and real-life experiments show that the proposed method is effective in performing image SR.
URI: https://hdl.handle.net/10356/84750
http://hdl.handle.net/10220/13387
DOI: 10.1109/ICASSP.2012.6288117
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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