| Color image superresolution using multi-channel data fusion | |
Zhao Shubin; Han Hua ; Peng Silong
| |
| 2003 | |
| 会议名称 | Third International Symposium on Multispectral Image Processing and Pattern Recognition |
| 页码 | pp 39-44 |
| 会议日期 | 2003/10/20-2003/10/22 |
| 会议地点 | 中国Beijing China |
| 摘要 | This paper presents a wavelet-domain Hidden Markov Tree(HMT)-based color image superresolution algorithm using multi-channel data fusion. Because there exists correlations among the three channels of a RGB color image a channel by channel superresolution method almost certain leads to color distortion. In order to solve this problem first the low-resolution color image is converted into a gray-scale image using the spatially-adaptive approach presented in this paper and the resulting gray-scale image must reflect the human perception of edges in the color image; then by superresolving this gray-scale image a high-resolution image is obtained; finally wavelet-domain HMT-based image superresolutions are performed for the three channels of the low-resolution color image using the same posterior state probabilities which reflect the hidden states of the wavelet coefficients of the high-resolution gray-scale image obtained before and thus the resulting high-resolution color image is what we desired. Becasue the correlations among the three channels of a RGB color image are considered there are no color distortions in the reconstructed high-resolution image. Experimental results show that the reconstructed color images have high PSNR and are of high visual quality. |
| 关键词 | Data Fusion Super Resolution Wavelets Distortion |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/12902 |
| 专题 | 智能制造技术与系统研究中心_多维数据分析（彭思龙）-技术团队 |
| 通讯作者 | Zhao Shubin |
| 推荐引用方式 GB/T 7714 | Zhao Shubin,Han Hua,Peng Silong. Color image superresolution using multi-channel data fusion[C],2003:pp 39-44. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论