A qualitative study of Exemplar based Image Inpainting

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Abstract

Image inpainting is exploring the way of filling the missing or left out regions in an image by only having knowledge of surrounding pixel values. One of the block matching algorithms use for image inpainting is exemplar based technique. Exemplar based image inpainting method search the best matching patch for the target region in the image and when it is obtained, the pixel values are copied from the source region and pasted to the target region. The selections of different patch matching criteria, patch size and filling order have a great affect on the results. This paper describes some of the variations in traditional exemplar method which include change in patch selection, priority, patch size and multi-resolution inpainting. The advantages and drawbacks for the modified methods are also discussed here.

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Shroff, M., & Bombaywala, M. S. R. (2019). A qualitative study of Exemplar based Image Inpainting. SN Applied Sciences, 1(12). https://doi.org/10.1007/s42452-019-1775-7

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