Noise analysis for depth estimation

Authors:
Aamir Saeed Malik;Tae-Sun Choi
Affiliations:
Gwangju Institute of Science and Technology, Gwangju, Korea;Gwangju Institute of Science and Technology, Gwangju, Korea
Venue:
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
Year:
2007

Citing 8
Cited 0

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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.