Parallel algorithm for wrapped phase denoising

This paper presents a parallel implementation of a fixed-point algorithm for wrapped phase denoising. The model based on total variation efficiently estimates discontinuous phase maps and further incorporates the Pythagorean trigonometric identity between the real and imaginary parts of the phase ma...

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Bibliographic Details
Published in:Journal of real-time image processing 2023-08, Vol.20 (4), p.68, Article 68
Main Authors: Jesús May-Cen, Iván de, Hernandez-Lopez, Francisco J., Legarda-Sáenz, Ricardo, Brito-Loeza, Carlos
Format: Article
Language:English
Subjects:
Algorithms
Boundary conditions
Computer Graphics
Computer Science
Image Processing and Computer Vision
Multimedia Information Systems
Noise reduction
Partial differential equations
Pattern Recognition
Performance assessment
Signal,Image and Speech Processing
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Summary:This paper presents a parallel implementation of a fixed-point algorithm for wrapped phase denoising. The model based on total variation efficiently estimates discontinuous phase maps and further incorporates the Pythagorean trigonometric identity between the real and imaginary parts of the phase map, enhancing the quality of the restored phase. In this work, two parallel C/C++ implementations of the sequential version of algorithms were developed. The implementations include execution in a multi-core CPU and a GPU using OpenMP and CUDA, respectively. We show performance comparisons of the parallel implementations with advanced methods using synthetic and experimental data. Results show that our parallel implementations achieve speedups over the serial implementation of 12 × for multi-core CPU and 110 × for GPU.
ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-023-01325-4