Informative sensing of natural images
Name
Chang-2009-Informative sensing of natural images.pdf
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312.08 KB
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Checksum (MD5)
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Author(s)
Chang, Hyun Sung
Weiss, Yair
Freeman, William T.
Date Issued
February 2010
Journal
Proceedings of the 16th IEEE International Conference on Image Processing (ICIP 2009)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Hyun Sung Chang, Y. Weiss, and W.T. Freeman. “Informative sensing of natural images.” Image Processing (ICIP), 2009 16th IEEE International Conference on. 2009. 3025-3028. © Copyright 2010 IEEE
Version
Final published version
Abstract
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work has found the story to be more complicated. For example, the projections based on principal component analysis work better than random projections for some images while the reverse is true for other images. Which feature of images makes such a distinction and what is the optimal set of projections for natural images? In this paper, we attempt to answer these questions with a novel formulation of compressed sensing. In particular, we find that bandwise random projections in which more projections are allocated to low spatial frequencies are near-optimal for natural images and demonstrate using experimental results that the bandwise random projections outperform other kinds of projections in image reconstruction.
Subjects
uncertain component analysis
natural images
informative sensing
Compressed sensing
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICIP.2009.5414426
