Paper
1 October 2011 Image inpainting using cubic hermit spline
M. Shahid Farid, Hassan Khan, Arif Mahmood
Author Affiliations +
Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82854R (2011) https://doi.org/10.1117/12.913301
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
Image inpainting is a technique used to automatically recover the damaged or missing regions in digital images and is used to remove the unwanted objects from images. This paper presents a novel approach for recovering the damaged regions of digital images using splines. The proposed technique is divided into two steps. In the first step structure of the object in the damaged region is recovered using splines. The animator marks a reasonable number of points on the structure of the object around the damaged region. Using these points a spline is constructed and the isophote lines arriving at the contours of the damaged region are interpolated into the damaged regions using that spline. After recovering the structure of the object in the damaged or missing region, in the second step, a fill in process is done to fill in the color information in the damaged region. Any interpolation technique can be used in the second step to flow the color information into the damaged region. The proposed algorithm is tested over a large variety of images and has sown excellent results to restore the small damaged regions and satisfactory results for large damaged regions
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Shahid Farid, Hassan Khan, and Arif Mahmood "Image inpainting using cubic hermit spline", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82854R (1 October 2011); https://doi.org/10.1117/12.913301
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Cited by 1 scholarly publication.
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KEYWORDS
Image restoration

Digital imaging

Image processing

Image quality

Image registration

Photography

Signal to noise ratio

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