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Wavelet-based inpainting for object removal from image series

'Wavelet-based inpainting for object removal from image series'
Wavelet-Based Inpainting for Object Removal from Image Series Sebastian Vetter, Marcin Grzegorzek, and Dietrich Paulus Active Vision Group Institute for Computational Visualistics University of Koblenz-Landau Universit¨ atsstr. 1, 56070 Koblenz, Germany Abstract. We propose several algorithmic extensions to inpainting that have been proposed to the spatial domain by other authors and apply them to an inpainting technique in the wavelet domain. We also intro- duce a new merging stage. We show how these techniques can be used to remove large objects in complex outdoor scenes automatically. We eval- uate our approach quantitatively against the aforementioned inpainting methods and show that our extensions measurably increase the inpaint- ing quality. 1Introduction The digital nature of most images that are used today, make it fairly easy to alter the image content using image processing tools. The removal of entire objects from images, however, is a very complicated task that usually requires the expertise of professionals to achieve suffi cient results in the altered image. It is, therefore, an even greater challenge to automate this process such that the results are perceived as un-altered. Our need for inpainting came from a project that required removal of objects, a colour checker in particular, from a series of highly structured images. Fig. 1 shows an example from the test set. In an initial processing step, the colour checker is located in the image and a binary mask is generated identifying the pixels belonging to this object. It is then removed using image inpainting. We propose a modifi ed approach for image inpainting based on an approach described by Ign´ acio et al. [1] using wavelet coeffi cients to determine the order in which the unknown region is fi lled. Their idea is adapted from Criminisi et al. [2] where the authors apply the same technique in the spatial domain. Our approach defi nes extensions to improve the wavelet-based inpainting approach by Ign´ acio et al. [1]. These extensions are similar to those proposed by Cheng et al. [3] to improve [2]. We outline related work in section 2, briefl y introduce the idea of the wavelet- based inpainting approaches in section 3, describe our extensions to Ign´ acio et al. [1] in section 4 and provide the corresponding experimental results in section 5. We conclude in section 6. M. Goesele et al. (Eds.): DAGM 2010, LNCS 6376, pp. 343–352, 2010. c? Springer-Verlag Berlin Heidelberg 2010 344S. Vetter, M. Grzegorzek, and D. Paulus Fig.1. Images from our test set showing the original (left) and the inpainted image using our approach with the colour checker removed (right) Fig.2. Some original scenes used in the test 2Related Work The removal of objects from still images has been the subject of many research projects. Initially, approaches only had to deal with missing data in the size of a few pixels. These damages could be repaired by using well-known interpolation techniques which are inc
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Wavelet-basedinpaintingforobjectremovalfromimageseries
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本文标题:Wavelet-based inpainting for object removal from image series
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