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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yi Yang Au, O.C. Lu Fang Xing Wen Weiran Tang |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, China (Yi Yang; Au, O.C.; Lu Fang; Xing Wen; Weiran Tang) |
| Abstract | Human eyes have different sensitivity to different frequency components of image signals, typically, low frequency components are relatively more crucial to the perceptual quality of images than high frequency components. Based on this observation, we propose a novel sampling scheme for compressive sensing framework by designing a weighting scheme for the sampling matrix. By adjusting the weighting coefficients, we can tune the structure of the sampling matrix to favor the frequency components that are important to human perception, so that those components could be more precisely recovered in the reconstruction procedure. Experimental results reveal that our proposed scheme can greatly enhance the performance of compressive sensing framework in both PSNR and visual quality without increasing the complexity of the framework structure or computational procedure. |
| Starting Page | 89 |
| Ending Page | 92 |
| File Size | 1049060 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424442904 |
| ISSN | 19457871 |
| DOI | 10.1109/ICME.2009.5202443 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Image sampling Signal sampling Humans Frequency Sampling methods Image reconstruction Sparse matrices Reconstruction algorithms Length measurement ℓ |
| Content Type | Text |
| Resource Type | Article |
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