Wavelet transform in depth recovery

MawKae Hor; Jemmy Y.M. Chen; Kuo-Shen Chen

doi:10.1117/12.150161

20 August 1993 Wavelet transform in depth recovery

MawKae Hor, Jemmy Y.M. Chen, Kuo-Shen Chen

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150161
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

In this paper, a number of spatial/spatial-frequency image representations are reviewed. Wavelets have recently generated much interest, both in applied areas as well as in more theoretical ones. Wavelet transform relative to some basic wavelets provides a flexible time- frequency window which automatically narrows when observing high frequency phenomena and widens when studying low frequency environments. As a result, it is suitable for visual information representation. Applications in computer vision such as image compression and image enhancement are examined. method is presented, in which, a N X N subimage is divided into a lot of N X 7 or N X 9 narrow image regions perpendicular to local fringe direction, and then each region is segmented by a corresponding threshold curve. Because the threshold curves can follow fringe's extremum changes, it can avoid the effect of the inhomogeneous grey level distribution caused by diffraction halo and accurate segmen space, a projection operator is used in the spatial-variant deconvolution. Nevertheless, experimental results show that this approximation mechanism can generate the depth map of different images successfully.

Citation Download Citation

MawKae Hor, Jemmy Y.M. Chen, and Kuo-Shen Chen "Wavelet transform in depth recovery", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150161

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