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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huang Darong Fang Zhou Zhao Ling Chu Xiaoyan |
| Copyright Year | 2014 |
| Description | Author affiliation: Chongqing Jiaotong Univ., Chongqing, China (Huang Darong; Fang Zhou; Zhao Ling; Chu Xiaoyan) |
| Abstract | An improved image clearness method based on the theory of dark channel prior is proposed. Firstly, the single channel image coming from the minimum value of each pixel among the three color channels is computed; secondly, the atmospheric light is estimated by using the wavelet threshold method; thirdly, the transmission maps are calculated by using the atmospheric light, and then the image is recovered by using the atmospheric light. The experiment results show that this method can restore the fogging image effectively and reduce the time complexity which brought by Soft Matting algorithm greatly. |
| Starting Page | 7350 |
| Ending Page | 7355 |
| File Size | 500487 |
| Page Count | 6 |
| File Format | |
| ISBN | 9789881563873 |
| ISSN | 19341768 |
| DOI | 10.1109/ChiCC.2014.6896219 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | TCCT, CAA |
| Subject Keyword | Wavelet transforms Algorithm design and analysis Image color analysis Atmospheric modeling defogging algorithm Scattering dark channel prior Image restoration Atmospheric waves wavelet de-noising method |
| Content Type | Text |
| Resource Type | Article |
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