A novel multi-band image interpolation method
A novel multi-band image interpolation method is proposed. It recovers the final image based on Minimum Mean Square Error (MMSE) rule by using the multi-band image information. Both sub-image features and the multi-band crosscorrelated information are used for the estimation. Then we demonstrate the decomposition models which could generate highly-correlated sub-images achieve good performance when adopted in our method. Our method not only considers the properties in sub-images, but incorporates the correlated characteristics among decomposed images in multiple bands, which outperforms conventional single image MMSE estimation methods. Both subjective and objective experimental results prove the validity of our method used in image interpolation.
image interpolation multi-band MMSE estimation decomposition model
Gaoyun An Jiying Wu Qiuqi Ruan
Institute of Information Science, Beijing Jiaotong University, Beijing, China China Certification & Inspection Group, Beijing, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
781-784
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)