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Noise Analysis for Depth Estimation

  • Aamir Saeed Malik
  • Tae-Sun Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)

Abstract

Depth estimation is an important parameter for three-dimensional shape recovery. There are many factors affecting the depth estimation including luminance, texture reflectance, noise etc. In this paper, we limit our discussion to noise. We present noise analysis by first pre-filtering the noisy images using well known Wiener filter and then using a robust focus measure for depth estimation. That depth map can further be used in techniques and algorithms leading to recovery of three dimensional structure of the object. The focus measure is based on an optical transfer function implemented in the Fourier domain and its results are compared with the earlier focus measures and presented in this paper. The additive Gaussian noise is considered for noise analysis.

Keywords

Noise Pre-Filtering Depth Map 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Aamir Saeed Malik
    • 1
  • Tae-Sun Choi
    • 1
  1. 1.Gwangju Institute of Science and Technology, Oryong-Dong, Buk-Gu, Gwangju, 500712Korea

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