Wavelet-domain least squares based image superresolution
Zhao Shubin; Zhang Peng; Peng Silong
2003
会议名称Proceedings of the Third International Conference on Wavelet Analysis and Its Applications (WAA)
页码pp 269-274
会议日期2003/5/29-2003/5/31
会议地点中国Chongqing China
摘要This paper proposes a wavelet-domain least-squares based algorithm for image super-resolution. Based on the fact of the self-similarity of multscale edges it is possible to predict the three subband wavelet coefficients. Once the wavelet coefficients are obtained high-resolution images can be reconstructed using inverse DWT. Because the algorithm properly preserves the local regularity around edges the induced images are of high visual quality. Besides since we only need to predict the wavelet coefficients near edges the algorithm is computationally efficient. Finally quantitative error analyses are provided and several images are shown for subjective assessment.
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12900
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Zhao Shubin
推荐引用方式
GB/T 7714
Zhao Shubin,Zhang Peng,Peng Silong. Wavelet-domain least squares based image superresolution[C],2003:pp 269-274.
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