Please use this identifier to cite or link to this item:
Title: Zoom based super-resolution through SAR model fitting
Authors: JOSHI, MV
Keywords: Image Analysis
Image Quality
Regression Analysis
Mathematical Models
Issue Date: 2004
Publisher: IEEE
Citation: Proceedings of the International Conference on Image Processing (V 3), Singapore, 24-27 October 2004, 1775-1778
Abstract: We propose a technique for super-resolution imaging of a scene from observations at different camera zooms. Given a sequence of images with different zoom factors of a static scene, we obtain a picture of the entire scene at a resolution corresponding to the most zoomed observation. We model the high resolution image as a simultaneous autoregressive (SAR) model, the parameters of which are learnt from the most zoomed observation. Assuming that the entire scene can be described by a homogeneous SAR model, the learnt parameters are then used in a suitable regularization technique to estimate the high resolution field.
URI: 10.1109/ICIP.2004.1421418
ISBN: 0-7803-8554-3
Appears in Collections:Proceedings papers

Files in This Item:
File Description SizeFormat 
30678.pdf356.95 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.