Multi-step phase-shifting algorithms insensitive to linear phase shift errors

Novák, Jiří; Novák, Pavel; Mikš, Antonı́n

doi:10.1016/j.optcom.2008.07.060

Cited by 55 publications

(34 citation statements)

References 28 publications

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“…The literature on phase error is divided into three categories, namely, harmonic compensation methods [4], phase-shifting compensation methods [1][2][3]5,14], and gamma model compensation methods [6][7][8][9][10][11][12][13][14][15][16][17][18]. The gamma model compensation methods are currently a significant and challenging research focus.…”

Section: Introductionmentioning

confidence: 99%

Digital fringe image gamma modeling and new algorithm for phase error compensation

Cui

Zhao

et al. 2014

Optik

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Section: Introductionmentioning

confidence: 99%

Digital fringe image gamma modeling and new algorithm for phase error compensation

Cui

Zhao

et al. 2014

Optik

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“…Over the years, numerous phase-shifting algorithms have been developed, as summarized in this book chapter [8]. Although a multiple-step phase-shifting algorithm is not very sensitive to linear phase shift errors [9], a three-step phase-shifting algorithm is usually desirable for high-speed applications since it requires the minimum number of fringe images to obtain high-quality phase. For a three-step phase-shifting algorithm with equal phase shifts, three fringe images can be described as I 1 x; y I 0 x; y I 00 x; y cosϕ − 2π∕3;…”

Section: Principlementioning

confidence: 99%

Three-dimensional range data compression using computer graphics rendering pipeline

Zhang¹

2012

Appl. Opt.

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This paper presents the idea of naturally encoding three-dimensional (3D) range data into regular twodimensional (2D) images utilizing computer graphics rendering pipeline. The computer graphics pipeline provides a means to sample 3D geometry data into regular 2D images, and also to retrieve the depth information for each sampled pixel. The depth information for each pixel is further encoded into red, green, and blue color channels of regular 2D images. The 2D images can further be compressed with existing 2D image compression techniques. By this novel means, 3D geometry data obtained by 3D range scanners can be instantaneously compressed into 2D images, providing a novel way of storing 3D range data into its 2D counterparts. We will present experimental results to verify the performance of this proposed technique. Disciplines Computer-Aided Engineering and Design | Mechanical Engineering CommentsThis article is from Applied Optics 51 (2012) This paper presents the idea of naturally encoding three-dimensional (3D) range data into regular twodimensional (2D) images utilizing computer graphics rendering pipeline. The computer graphics pipeline provides a means to sample 3D geometry data into regular 2D images, and also to retrieve the depth information for each sampled pixel. The depth information for each pixel is further encoded into red, green, and blue color channels of regular 2D images. The 2D images can further be compressed with existing 2D image compression techniques. By this novel means, 3D geometry data obtained by 3D range scanners can be instantaneously compressed into 2D images, providing a novel way of storing 3D range data into its 2D counterparts. We will present experimental results to verify the performance of this proposed technique.

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“…More than two interferograms are needed for this technique. During the recording process, many environmental factors along with the precision of the phase shifter always cause phase-shift errors, which induce errors on the retrieved object wavefronts [8][9][10][11]. Some methods with random phase shifts and many phase-shift retrieval algorithms are useful in decreasing the negative effects of these errors [12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Phase stitching and error correction in aperture synthesis for generalized phase-shifting interferometry

Han

et al. 2013

Appl. Opt.

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An accurate aperture synthesis method in generalized phase-shifting interferometry is suggested to improve the quality of the reconstructed object wavefront by stitching both the phase and the real amplitude of the object wave on the recording plane. Since the phase distribution affects the reconstruction of the original object wavefront, phase stitching is also important in aperture synthesis. Double correlations are used to find the proper relative locations and correct the phase error of subwavefronts on the recording plane. By using phase correction, the phase distributions of subwavefronts are combined perfectly. Corresponding optical experimental results have verified the effectiveness of this method, which can stitch not only the real amplitudes but also the phases of the complex amplitudes of the object wave on the recording plane and improve the quality of the reconstructed object image.

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Multi-step phase-shifting algorithms insensitive to linear phase shift errors

Cited by 55 publications

References 28 publications

Digital fringe image gamma modeling and new algorithm for phase error compensation

Digital fringe image gamma modeling and new algorithm for phase error compensation

Three-dimensional range data compression using computer graphics rendering pipeline

Phase stitching and error correction in aperture synthesis for generalized phase-shifting interferometry

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