Spectral Analysis of Masked Signals in the Context of Image Inpainting
IMAGE ANALYSIS AND PROCESSING, ICIAP 2022 WORKSHOPS, PT I(2022)
摘要
This paper proposes a computationally efficient algorithm for evaluating a sum of squared differences in the image domain in the presence of arbitrary mask configurations. Among the many potential applications of this algorithm, we consider for illustration an image inpainting task. The results show that on a diverse sample of hundreds of simulated holes in the tested images, the proposed technique is more effective than the baseline normalized cross-correlation, even when the masks are properly dealt with by the baseline.
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关键词
Spectral analysis, Fourier domain, Image inpainting
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