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000033894 0247_ $$2DOI$$a10.1016/j.image.2005.03.005
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000033894 084__ $$2WoS$$aEngineering, Electrical & Electronic
000033894 1001_ $$0P:(DE-Juel1)129394$$aScharr, H.$$b0$$uFZJ
000033894 245__ $$aAccurate optical flow in noisy image sequences using flow adapted anisotropic diffusion
000033894 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2005
000033894 300__ $$a537 - 553
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000033894 440_0 $$014262$$aSignal Processing: Image Communication$$v20$$x0923-5965$$y6
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000033894 520__ $$aIn this paper, we combine 3D anisotropic diffusion and motion estimation for image denoising and improvement of motion estimation. We compare different continuous isotropic nonlinear and anisotropic diffusion processes, which can be found in literature, with a process especially designed for image sequence denoising for motion estimation. All of these processes initially improve motion estimation due to reduction of noise and high frequencies. But while all the well known processes rapidly destroy or hallucinate motion information, the process brought forward here shows considerably less information loss or violation even at motion boundaries. We show the superior behavior of this process. Further we compare the performance of a standard finite difference diffusion scheme with several schemes using derivative filters optimized for rotation invariance. Using the discrete scheme with least smoothing artifacts we demonstrate the denoising capabilities of this approach. We exploit the motion estimation to derive an automatic stopping criterion. (c) 2005 Elsevier B.V. All rights reserved.
000033894 536__ $$0G:(DE-Juel1)FUEK257$$2G:(DE-HGF)$$aChemie und Dynamik der Geo-Biosphäre$$cU01$$x0
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000033894 65320 $$2Author$$amotion estimation
000033894 65320 $$2Author$$anoise removal
000033894 65320 $$2Author$$ahigh accuracy
000033894 7001_ $$0P:(DE-HGF)0$$aSpies, H.$$b1
000033894 773__ $$0PERI:(DE-600)1499759-9$$a10.1016/j.image.2005.03.005$$gVol. 20, p. 537 - 553$$p537 - 553$$q20<537 - 553$$tSignal processing: image communication$$v20$$x0923-5965$$y2005
000033894 8567_ $$uhttp://dx.doi.org/10.1016/j.image.2005.03.005
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