Wavelet-domain HMT-based image superresolution
文献类型：会议论文
| 作者 | Zhao Shubin; Han Hua ; Peng Silong; Shubin Zhao
|
| 出版日期 | 2003 |
| 会议日期 | 2003/9/14-2003/9/17 |
| 会议地点 | SpainBarcelona Spain |
| 关键词 | Hidden Markov Tree Wavelets Image Superresolution |
| 页码 | pp 953-956 |
| 英文摘要 | In this paper we propose an image super-resolution algorithm using wavelet-domain Hidden Markov Tree (HMT) model. Wavelet-domain HMT models the dependencies of multiscale wavelet Coefficients through the state probabilities of wavelet coefficients whose distribution densities can be approximated by the Gaussian mixture. Because wavelet-domain HMT accurately characterizes the statistics of real-world images we reasonably specify it as the prior distribution and then formulate the image super-resolution problem as a constrained optimization problem. And the Cyclespinning technique is used to suppress the artifacts that may exist in the reconstructed high-resolution images. Quantitative error analyses are provided and several experimental images are shown for subjective assessment. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12904]  |
| 专题 | 自动化研究所_智能制造技术与系统研究中心_多维数据分析团队 |
| 通讯作者 | Shubin Zhao |
| 推荐引用方式 GB/T 7714 | Zhao Shubin,Han Hua,Peng Silong,et al. Wavelet-domain HMT-based image superresolution[C]. 见:. SpainBarcelona Spain. 2003/9/14-2003/9/17. |
入库方式： OAI收割
来源：自动化研究所
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