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Optimal recovery of depth from defocused images using an MRF model

机译:使用MRF模型从散焦图像中最佳恢复深度

摘要

A MAP-MRF based scheme is proposed for simultaneous recovery of the depth and the focused image of; ct scene from two defocused images. The space-variant blur parameter and the focused image of the scene are both modeled as MRFs and their MAP estimates are obtained using simulated annealing. The performance of the proposed scheme is tested on synthetic as well as real data and the estimates of the depth are found to be better than that of existing window-based techniques.
机译:提出了一种基于MAP-MRF的方案,用于同时恢复深度和聚焦图像。两张散焦图像中的ct场景。空变模糊参数和场景的聚焦图像均被建模为MRF,并使用模拟退火获得其MAP估计。在合成数据和真实数据上测试了所提出方案的性能,并且发现深度的估计要优于现有的基于窗口的技术。

著录项

  • 作者

    RAJAGOPALAN AN; CHAUDHURI S;

  • 作者单位
  • 年度 1998
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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