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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takeda, H. Hae Jong Seo Milanfar, P. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Eng., Univ. of California at Santa Cruz, Santa Cruz, CA (Takeda, H.; Hae Jong Seo; Milanfar, P.) |
| Abstract | In this paper, we propose two novel (non- parametric) statistical measures of image and video quality. Both of these are based on the fundamental notion of singular value decomposition, applied to local pixel and higher order information derived from the data. These methods enable measurement of similarity between images, and the measurement of image quality without a reference. A possible derivative application of the latter statistical measure is to optimize parameters of the relevant restoration algorithms being applied. |
| Starting Page | 1 |
| Ending Page | 2 |
| File Size | 1090961 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424414581 |
| DOI | 10.1109/ICCE.2008.4587957 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-01-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quality assessment Image restoration Image quality Singular value decomposition Image reconstruction Statistical analysis Pixel Electric variables measurement Noise reduction Image resolution |
| Content Type | Text |
| Resource Type | Article |
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