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压缩视频超分辨率重构的一种新算法 被引量:1

A Novel Algorithm of Compressed Video Super-Resolution Reconstruction
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摘要 针对传统重构算法不能很好地解决压缩视频的超分辨率图像重构的问题,文中提出了一种基于凸集投影(POCS)理论的压缩视频超分辨率重构算法。整个算法是在严格数学推理基础上形成的,具有较强的逻辑性和严密性。实验结果也表明,该算法不仅在峰值信噪比(PSNR)值和重构效果对压缩视频有较大提高和明显改善,而且易于扩展,具有广泛的应用范围。 In this paper,a new algorithm of compressed video super - resolution restoration based on POCS theory is proposed to resolve the problem of the traditional restoration methods cannot be well applied to the compressed video. The total algorithm is formulated by rigorous reasoning,and the results of the experiment demonstrate that the algorithm not only more great than the traditional ones on the aspects of PSNR and restoration effect,but also has the characteristic of easy extension.
作者 周芳 周亮
出处 《微机发展》 2005年第12期22-23,26,共3页 Microcomputer Development
基金 安徽省高等学校自然科学研究项目(2005KJ075) 江苏省自然科学基金资助项目(BK2004151)
关键词 超分辨率 压缩视频 图像重构 凸集投影 super - resolution compressed video image restoration POCS
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参考文献5

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同被引文献6

  • 1飞思科脊产品研发中心.经网络理论以及matlab7实现[M].北京:电子工业出版社,2005.
  • 2GEVREKCI M, GUTURK B K. Image acquisition modeling for superresolution reconstruction [ J ]. IEEE, 2005.
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  • 6潘逢治,张立明.用神经网络恢复残差的图像超分辨率算法[J].电子学报,2004,32(1):161-165. 被引量:4

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