Adaptive image inpainting algorithm based on POCS and patch stationarity
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To remove objects from digital images, certain measures are required to restore the empty and damaged regions in an image. The process of restoring a corrupted image by filling empty regions with background textures is called image inpainting. This study proposes a new algorithm to suppress the generation of texture garbage in the image inpainting process. We analyze the characteristics of the projections onto convex sets (POCS)-based and static patch-based exemplar search techniques and propose an adaptive algorithm that can compensate for the shortcomings of both methods. The experiments showed that the proposed method naturally inpainted empty areas while effectively suppressing the generation of texture garbage.
Abstract
To remove objects from digital images, certain measures are required to restore the empty and damaged regions in an image. The process of restoring a corrupted image by filling empty regions with background textures is called image inpainting. This study proposes a new algorithm to suppress the generation of texture garbage in the image inpainting process. We analyze the characteristics of the projections onto convex sets (POCS)-based and static patch-based exemplar search techniques and propose an adaptive algorithm that can compensate for the shortcomings of both methods. The experiments showed that the proposed method naturally inpainted empty areas while effectively suppressing the generation of texture garbage.
참고문헌 (10)
- T. F. Chan, "Non-texture inpainting by curvature-driven diffusions", Journal of Visual Communication and Image Representation, 12(4), pp.436~449 (2001)
- M. Bertalmio, "Navierstrokes, fluid dynamics and image and video inpainting", Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition, 1, pp.355~362 (2001)
- C. Ballester, "A variational model for filling-in gray level and color images", Proceedings of International Conference on Computer Vision, 1, pp.10~16 (2001)
- C. Guillemot, "Image inpainting: Overview and recent advances", IEEE Signal Processing Magazine, 31(1), pp.127~144 (2014)
- L. Liang, "Real-time texture synthesis by patch-based sampling", ACM Transaction on Graphics, 20(3), pp.127~150 (2001)
- A. A. Efros, "Texture synthesis by nonparametric sampling", Proceedings of International Conference on Computer Vision, 2, pp.1033~1038 (1999)
- M. Ashikhmin, "Synthesizing natural textures", Proceedings of Symposium on Interactive 3D Graphics, pp.217~226 (2001)
- A. Criminisi, "Region filling and object removal by exemplar-based image inpainting", IEEE Transactions on Image Processing, 13(9), pp.1200~1212 (2004)
- 김진주, "패치 외삽을 이용한 효과적인 예제기반 영상 인페인팅", 한국콘텐츠학회 논문지, 14(2), pp.1~9 (2014), 한국콘텐츠학회[DOI]
- 공영일, "예제기반 영상 인페인팅을 위한 텍스쳐 가비지 제거 알고리즘", 방송공학회 논문지, 24(1), pp.186~189 (2019), 한국방송∙미디어공학회[DOI]