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Báo cáo hóa học: "Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 61859 Pages 1-15 DOI 10.1155 ASP 2006 61859 Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences Sina Farsiu 1 Michael Elad 2 and Peyman Milanfar1 1 Electrical Engineering Department University of California Santa Cruz Santa Cruz CA 95064 USA 2 Computer Science Department Technion - Israel Institute of Technology Haifa 32000 Israel Received 17 December 2004 Revised 10 March 2005 Accepted 15 March 2005 We address the dynamic super-resolution SR problem of reconstructing a high-quality set of monochromatic or color superresolved images from low-quality monochromatic color or mosaiced frames. Our approach includes a joint method for simultaneous SR deblurring and demosaicing this way taking into account practical color measurements encountered in video sequences. For the case of translational motion and common space-invariant blur the proposed method is based on a very fast and memory efficient approximation of the Kalman filter KF . Experimental results on both simulated and real data are supplied demonstrating the presented algorithms and their strength. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Theoretical and practical limitations usually constrain the achievable resolution of any imaging device. While higher-quality images may result from more expensive imaging systems often we wish to increase the resolution of images previously captured under nonideal situations. For instance enhancing the quality of a video sequence captured by surveillance cameras in a crime scene is an example of these situations. The basic idea behind SR is the fusion of a sequence of low-resolution LR noisy blurred images to produce a higher-resolution image. Early works on SR showed that it is the aliasing effects in the LR images that enable the recovery of the high-resolution HR fused image provided that a relative subpixel .