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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zheng-Xiang Xie Zhi-Fang Wang Xia-Fu Lv |
| Copyright Year | 2010 |
| Description | Author affiliation: College of Automatics, Chongqing Univ. of Posts & Telecom., Chongqing, China (Xia-Fu Lv) || Dept. Biomedical Engineering Chongqing Medical University, Chongqing, China (Zheng-Xiang Xie) || Chongqing medical instrument quality, inspection center, Chongqing, China (Zhi-Fang Wang) |
| Abstract | The images taken from low-light level condition can not be resolved by human vision. We called the method, that these images are transformed into the visible images by human vision, lower level image mining (LLIM). We proposed a method called as the gradually flattening gray spectrum to mine a gray distribution information, proposed a method called as Zadeh-X transformation to implement a gray transformation to acquire a new image, and proposed a method which can predict transformation parameter by means of the subjective assessment results of the optimal quality images to adaptively, automatically and fast acquire the optimal quality images. |
| Starting Page | 2322 |
| Ending Page | 2326 |
| File Size | 1181193 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465132 |
| e-ISBN | 9781424465163 |
| DOI | 10.1109/CISP.2010.5647871 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image quality Zadeh-X transformation Image resolution lower level image mining (LLIM) Computational modeling optimal quality image Humans Predictive models Low-light level gray spectrum Pixel Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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