Paper
24 January 2011 Fast orientation driven multi-structure morphological inpainting
D. Jemi Florinabel, S. Ebenezer Juliet, V. Sadasivam
Author Affiliations +
Proceedings Volume 7876, Digital Photography VII; 78760E (2011) https://doi.org/10.1117/12.877109
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
A fast inpainting algorithm for restoring damaged digitized photographs based on orientation driven multi structure morphology is proposed. The inpainting is guided by the orientation of the edges at the surrounding known regions of the missing domain. The edges are grouped with respect to their orientation by compass operators. Each edge group is represented as separate planes. The edge-plane information is used twice manifold for reconstructing the regions within the missing part, as well as for guiding the integration that follows. The damaged regions are morphologically eroded using the structuring elements of corresponding orientations dictated by the edge-planes. Simultaneously the edge planes are interpolated. The resultant image is obtained by integrating the eroded images with reference to the interpolated edge planes. The novelty of our approach is to explicitly specify the direction of filling herby ensuring ease in convergence in different orientations and then streamlining the process to guarantee complete and natural look. By implementing region-filling through morphological erosion, a non-iterative and non-sampling process makes the method faster than many traditional texture synthesis inpainting algorithms and successfully recovers images with better Peak Signal to Noise ratios even for massive damages.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Jemi Florinabel, S. Ebenezer Juliet, and V. Sadasivam "Fast orientation driven multi-structure morphological inpainting", Proc. SPIE 7876, Digital Photography VII, 78760E (24 January 2011); https://doi.org/10.1117/12.877109
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KEYWORDS
Image processing

Image restoration

Photography

Binary data

Diffusion

Discrete wavelet transforms

Signal processing

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