Paper
17 November 2010 Study on the unweighted least-squares phase unwrapping algorithm
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Abstract
Two-dimensional phase unwrapping algorithm is the important step and key technology of three-dimensional shape measurement. In order to obtain the appearance characteristics of the object more accurately, a new phase unwrapping algorithm based on unweighted least-squares is presented in this paper, which is an improvement of discrete cosine transform (DCT) phase unwrapping algorithm. The advantage of this method is not only because of the global algorithms, processing the image as a whole, each pixel's value in the image is uniquely determined by solving the Discrete Poisson's equation with Newman boundary conditions which makes the least-squares solution of the wrapped and unwrapped phase difference minimum, but also can reduce the residues effectively. Through computer simulation, this new method and the original DCT algorithm were compared. Theoretical analysis and the results prove the validity of this method .The improved algorithm can eliminate the residues in the wrapped phase pictures more effectively. The phase information of the object can be reconstructed more accurately.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuhui Wang, Zhihui Zhang, Zhongjia Guo, and Huaying Wang "Study on the unweighted least-squares phase unwrapping algorithm", Proc. SPIE 7848, Holography, Diffractive Optics, and Applications IV, 784830 (17 November 2010); https://doi.org/10.1117/12.870538
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KEYWORDS
Algorithms

Computer simulations

Image processing

Adaptive optics

Linear filtering

Phase measurement

Radar signal processing

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