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5 March 2008The application of partial differential equation in interferogram denoising
The presence of noise in interferograms is unavoidable, it may be introduced in acquisition and transmission. These
random distortions make it difficult to perform any required processing. Removing noise is often the first step in
interferograms analysis. In recent yeas, partial differential equations(PDEs) method in image processing have received
extensive concern. compared with traditional approaches such as median filter, average filter, low pass filter etc, PDEs
method can not only remove noise but also keep much more details without blurring or changing the location of the
edges. In this paper, a fourth-order partial differential equation was applied to optimize the trade-off between noise
removal and edges preservation. The time evolution of these PDEs seeks to minimize a cost function which is an
increasing function of the absolute value of the Laplacian of the image intensity function. Since the Laplacian of an
image at a pixel is zero if the image is planar in its neighborhood. these PDEs attempt to remove noise and preserve
edges by approximating an observed image with a piecewise planar image .piecewise planar images look more nature
than step images which anisotropic diffusion (second order PDEs)uses to approximate an observed image .The
simulation results make it clear that the fourth-order partial differential equatoin can effectively remove noise and
preserve interferogram edges.
Jingfeng Liu,Yanqiu Li, andKe Liu
"The application of partial differential equation in interferogram denoising", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662325 (5 March 2008); https://doi.org/10.1117/12.791588
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Jingfeng Liu, Yanqiu Li, Ke Liu, "The application of partial differential equation in interferogram denoising," Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662325 (5 March 2008); https://doi.org/10.1117/12.791588