IEICE TRANSACTIONS on Information
A Visual Inpainting Method Based on the Compressed Domain
Summary :
Visual inpainting is an interpolation problem that restores an image or a frame with missing or damaged parts. Over the past decades, a number of computable models of visual inpainting have been developed, but most of these models are based on the pixel domain. Little theoretical and computational work of visual inpainting is based on the compressed domain. In this paper, a visual inpainting model in the discrete cosine transform (DCT) domain is proposed. DCT coefficients of the non-inpainting blocks are utilized to get block features, and those block features are propagated to the inpainting region iteratively. The experimental results with I frames of MPEG4 are presented to demonstrate the efficiency and accuracy of the proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.10 pp.1716-1719
- Publication Date
- 2007/10/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e90-d.10.1716
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Keyword
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Yi-Wei JIANG, De XU, Moon-Ho LEE, Cong-Yan LANG, "A Visual Inpainting Method Based on the Compressed Domain" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 10, pp. 1716-1719, October 2007, doi: 10.1093/ietisy/e90-d.10.1716.
Abstract: Visual inpainting is an interpolation problem that restores an image or a frame with missing or damaged parts. Over the past decades, a number of computable models of visual inpainting have been developed, but most of these models are based on the pixel domain. Little theoretical and computational work of visual inpainting is based on the compressed domain. In this paper, a visual inpainting model in the discrete cosine transform (DCT) domain is proposed. DCT coefficients of the non-inpainting blocks are utilized to get block features, and those block features are propagated to the inpainting region iteratively. The experimental results with I frames of MPEG4 are presented to demonstrate the efficiency and accuracy of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.10.1716/_p
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@ARTICLE{e90-d_10_1716,
author={Yi-Wei JIANG, De XU, Moon-Ho LEE, Cong-Yan LANG, },
journal={IEICE TRANSACTIONS on Information},
title={A Visual Inpainting Method Based on the Compressed Domain},
year={2007},
volume={E90-D},
number={10},
pages={1716-1719},
abstract={Visual inpainting is an interpolation problem that restores an image or a frame with missing or damaged parts. Over the past decades, a number of computable models of visual inpainting have been developed, but most of these models are based on the pixel domain. Little theoretical and computational work of visual inpainting is based on the compressed domain. In this paper, a visual inpainting model in the discrete cosine transform (DCT) domain is proposed. DCT coefficients of the non-inpainting blocks are utilized to get block features, and those block features are propagated to the inpainting region iteratively. The experimental results with I frames of MPEG4 are presented to demonstrate the efficiency and accuracy of the proposed algorithm.},
keywords={},
doi={10.1093/ietisy/e90-d.10.1716},
ISSN={1745-1361},
month={October},}
Copy
TY - JOUR
TI - A Visual Inpainting Method Based on the Compressed Domain
T2 - IEICE TRANSACTIONS on Information
SP - 1716
EP - 1719
AU - Yi-Wei JIANG
AU - De XU
AU - Moon-Ho LEE
AU - Cong-Yan LANG
PY - 2007
DO - 10.1093/ietisy/e90-d.10.1716
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2007
AB - Visual inpainting is an interpolation problem that restores an image or a frame with missing or damaged parts. Over the past decades, a number of computable models of visual inpainting have been developed, but most of these models are based on the pixel domain. Little theoretical and computational work of visual inpainting is based on the compressed domain. In this paper, a visual inpainting model in the discrete cosine transform (DCT) domain is proposed. DCT coefficients of the non-inpainting blocks are utilized to get block features, and those block features are propagated to the inpainting region iteratively. The experimental results with I frames of MPEG4 are presented to demonstrate the efficiency and accuracy of the proposed algorithm.
ER -
English
