Relevant bibliographies by topics / Exemplar Based Inpainting

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Exemplar Based Inpainting'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Exemplar Based Inpainting"

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Haridas, Arsha, and Shubham Agrawal. "Exemplar Method Based Image Inpainting." International Journal of Scientific Engineering and Research 4, no. 4 (2016): 59–62. https://doi.org/10.70729/ijser15759.

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A, Ankitha. "Exemplar Based Image Inpainting." IOSR journal of VLSI and Signal Processing 4, no. 2 (2014): 13–16. http://dx.doi.org/10.9790/4200-04221316.

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Et. al., Shweta Dhondse. "Intuitionistic Fuzzy Sets Based Inpainting for Reconstruction of Heritage Images." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 5556–65. http://dx.doi.org/10.17762/turcomat.v12i3.2219.

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Image inpainting is a process of reconstructing damaged or missing part of an image. Initially the work of restoration was performed by skilled artists and was limited to paintings and other artwork of eminence but this process was very tedious and strenuous and therefore digital image inpainting was introduced. The application of inpainting in reconstruction of heritage images is garnering a lot of attention from researchers. The reconstruction of heritage images using inpainting poses a challenging task because of its very high resolution and high meaning full structure content. In tradition
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Cao, Frédéric, Yann Gousseau, Simon Masnou, and Patrick Pérez. "Geometrically Guided Exemplar-Based Inpainting." SIAM Journal on Imaging Sciences 4, no. 4 (2011): 1143–79. http://dx.doi.org/10.1137/110823572.

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Amol, Pawar, and A.P. Phatale Prof. "A EFFECTIVE WAY TO MODIFY VIDEO FOR DELETING FORGROUND OBJECT FROM BACKGROUND USING EXEMPLAR BASED INPAINTING METHOD." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 346–56. https://doi.org/10.5281/zenodo.47048.

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A surveillance video for analyzing doubtful action in CCTV footage can be observed by military, police, Intelligance Bureau daily but some footage must be kept private and it’s content not getting viral for maintaining peace in society for this purpose reconstructing that footage is good option to avoid any misuse with that footage so we have implemented inpainting method to modify that video for deleting forground object from background , here we have use Exemplar based inpainting method which is used in Image Inpainting this method is combination of PDE based and Texture Synthesis base
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Fan, Qian, Lifeng Zhang, and Seiichi Serikawa. "Improvement of Patch Selection in Exemplar-based Image Inpainting." Journal of the Institute of Industrial Applications Engineers 3, no. 4 (2015): 197–202. http://dx.doi.org/10.12792/jiiae.3.197.

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Huang, Weijie, and Guoshan Zhang. "Improvement of the exemplar-based inpainting." Journal of Electronic Imaging 25, no. 5 (2016): 053038. http://dx.doi.org/10.1117/1.jei.25.5.053038.

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A., Vijayalakshmi, and Pethuru Raj. "Modified Exemplar based Image Inpainting Algorithm." International Journal of Computer Applications 135, no. 6 (2016): 24–28. http://dx.doi.org/10.5120/ijca2016908577.

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Yu, Shu Chun, Xiao Yang Yu, Jian Ying Fan, Hai Bin Wu, Yang Wang, and Qiao Hua Feng. "Disparity Image Inpainting with Improved Method Based on Exemplar." Applied Mechanics and Materials 121-126 (October 2011): 4431–35. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4431.

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To combat the problems of disparity image inpainting, an improved exemplar-based image inpainting method is proposed. The original stereo image we select which corresponds to disparity image is decomposed by TV-based decomposition and the structural information is obtained. The patch priority in the position corresponding to the disparity image is calculated by using the structural information, which reflects true characteristics of the original stereo image and disparity image. Experimental results show that inpainting performance is better with the guidance of this patch priority for dispari
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Zhao, Junhong, Jintao Tan, Yaobin Huang, and Chuanlong Lu. "Improved image inpainting exemplar-based algorithms by boundary priori-knowledge." MATEC Web of Conferences 355 (2022): 03004. http://dx.doi.org/10.1051/matecconf/202235503004.

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Image inpainting plays an important role in restoration of cultural relics, pictures beautification. Criminisi algorithm creates good results in large-area inpainting. However, it does still have some deficiencies such as over-extending. In this paper, two improved algorithms based on prior knowledge of the boundary had been proposed by simulating the idea of manual repairing. An algorithm, by simulating the strategy that the next inpainted pixel will be near to the prior one, named nearer neighbor first algorithm, can void the random bounding of the to-be-inpainted pixle. Another algorithm, b
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Dissertations / Theses on the topic "Exemplar Based Inpainting"

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Ding, Ding, and Ding Ding. "Image Inpainting Based on Exemplars and Sparse Representation." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/625897.

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Image inpainting is the process of recovering missing or deteriorated data within the digital images and videos in a plausible way. It has become an important topic in the area of image processing, which leads to the understanding of the textural and structural information within the images. Image inpainting has many different applications, such as image/video restoration, text/object removal, texture synthesis, and transmission error concealment. In recent years, many algorithms have been developed to solve the image inpainting problem, which can be roughly grouped into four categories, parti
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Arias, Martínez Pablo. "Variational methods for exemplar-based image inpainting and gradient-domain video editing." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/125063.

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In this thesis we tackle two problems which deal with filling-in the information in a region of an image or a video, where the data is either missing or has to be replaced. These problems have applications in the context of image and video editing. The first is image inpainting, and aims at obtaining a visually plausible completion in a region in which data is missing due to damage or occlusion. The second problem concerns the propagation of an editing performed by a user in one or two reference frames of a video, throughout the rest of the video. Both problems are of theoretical interest sinc
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Trampert, Patrick [Verfasser], and Philipp [Akademischer Betreuer] Slusallek. "3D exemplar-based image inpainting in electron microscopy / Patrick Trampert ; Betreuer: Philipp Slusallek." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2020. http://d-nb.info/1205735232/34.

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Cheng, Kuei-Yuan, and 鄭魁元. "Research on Improving Exemplar-Based Inpainting." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/60446126617003020934.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>93<br>Abstract We presents a fast algorithm for removing large objects from digital photographs and replacing holes with remaining backgrounds which get a visually plausible result. Images or photographs sometimes may contain noises, contaminations or undesired objects which cover signi‾cant portions of the images. Removing the objects creates one or more holes in the image. These holes need to be ‾lled to complete the image. Traditionally, there are several methods such as clone brush strokes and composite processes which can be used to ful‾ll this completion. Howe
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Chen, Siou-Mei, and 陳秀梅. "An accelerating algorithm by exemplar-based image inpainting." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/79883943813251161505.

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碩士<br>國立高雄第一科技大學<br>資訊管理所<br>97<br>The application of image inpainting is diversified. By image inpainting, we could not only restore damaged paintings or photographs, but also remove or replace the object that you have selected .Nowadays, most of the researches take exemplar-based inpainting algorithm as a foundation and extend it. However, many researches have focused on visually plausible result, and ignored the time that filling process needs. In order to improve the problem of efficiency, quite a few of researches bring up methods that by narrowing the scope of the sample to reduce the ti
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Wallace, Ryan. "Exemplar-based image inpainting on the GPU applied to 3D video conversion." Thesis, 2011. http://hdl.handle.net/1828/3843.

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My thesis investigates automation and optimizations for occlusion filling, a problem resulting from the generation of new viewpoints in the 3D video conversion process. Image inpainting is a popular topic in image processing research. The ability to fill a region of an image in a manner that is visually pleasing is a difficult and computationally expensive task. Recently, the most successful methods have been exemplar-based, copying patches of the image from a specified source region into the region to be filled. These algorithms are designed to propagate both structure and texture into the fi
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Lai, Shih-che, and 賴世哲. "Novel Exemplar-Based Video Inpainting Method Using Source Region of Continuous Frames." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/28443429463114741831.

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碩士<br>朝陽科技大學<br>資訊管理系碩士班<br>100<br>Video inpainting is a technique to remove selected objects or reconstruct damaged area of a video automatically. The main challenge is the restored sequence should have the same visual quality as the original. It not only needs explore a robust object tracking algorithm, but also need take into account the temporal continuity among video frames, especially in the case that the video has camera motions. Hence, video inpainting has drawn much attention in the past few years. This paper proposed a video inpainting scheme based on exemplar-based method. Firstly,
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Lin, Huei-Ting, and 林暉庭. "An Automatic Glasses Removal by using Skin Color and Exemplar-Based Inpainting Method." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/42111467499422350543.

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碩士<br>南台科技大學<br>資訊工程系<br>96<br>Face recognition and face detection techniques are widely used by various applications. There are few factors that affect the recognition performance such as white balance, expression, viewing angle and shading. But the glasses could cause error in face recognition. For example, the neural network or principle component analysis (PCA) techniques both use the normalized face features as training vector for recognition. The training result could varies due to the glasses is added on the human face or not. In this thesis, we propose an automatic face detection and g
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Chang, Chih-Chuan, and 張志詮. "A Fast Detection Algorithm for Exemplar-based Image Inpainting Forgeries Using Multi-Region Correlation." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/26320812343362263338.

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碩士<br>國立東華大學<br>資訊工程學系<br>97<br>In the past decades, the issue of digital image forgery becomes more and more important owing to the popularization digital images and the power of image processing software. Digital image forensics concerns about the identification of image authenticity. Recently, many researchers have proposed different methods which could detect forged region effectively. Most of the detection forged images are generated by image processing software. A few researchers pay attention to exemplar-based inpainting technique which can also generate sophisticated forged image. In t
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Book chapters on the topic "Exemplar Based Inpainting"

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Kumar, Veepin, Jayanta Mukherjee, and Shyamal Kumar Das Mandal. "Combinatorial Exemplar-Based Image Inpainting." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26145-4_21.

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Kumar, Hitesh, Shilpi Sharma, and Tanupriya Choudhury. "Improved Exemplar-Based Image Inpainting Approach." In Intelligent Computing and Information and Communication. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7245-1_69.

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Karos, Lena, Pinak Bheed, Pascal Peter, and Joachim Weickert. "Optimising Data for Exemplar-Based Inpainting." In Advanced Concepts for Intelligent Vision Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01449-0_46.

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Vlašánek, Pavel. "Enhanced F-transform Exemplar Based Image Inpainting." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91476-3_12.

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Padalkar, Milind G., Manjunath V. Joshi, and Nilay L. Khatri. "An Exemplar-based Inpainting Using an Autoregressive Model." In Digital Heritage Reconstruction Using Super-resolution and Inpainting. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02591-4_4.

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Kwok, Tsz-Ho, and Charlie C. L. Wang. "Interactive Image Inpainting Using DCT Based Exemplar Matching." In Advances in Visual Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10520-3_67.

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Patil, Shivanand, V. S. Malemath, and Suman Muddapur. "Enhanced Technique for Exemplar Based Image Inpainting Method." In Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-196-8_14.

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Pavuluri, Rohith, Tharun Abhinav, Praveen Kumar, and Motahar Reza. "New Hybrid Approach for Exemplar-Based Image Inpainting." In Computational Intelligence in Pattern Recognition. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2543-5_38.

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Peter, Pascal, and Joachim Weickert. "Compressing Images with Diffusion- and Exemplar-Based Inpainting." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18461-6_13.

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Qiang, Zhenping, Libo He, and Dan Xu. "Exemplar-Based Pixel by Pixel Inpainting Based on Patch Shift." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7302-1_31.

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Conference papers on the topic "Exemplar Based Inpainting"

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Hui-Qin Wang, Qing Chen, Cheng-Hsiung Hsieh, and Peng Yu. "Fast exemplar-based image inpainting approach." In 2012 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2012. http://dx.doi.org/10.1109/icmlc.2012.6359638.

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Lezoray, Olivier. "Improvements of Exemplar-based Image Inpainting." In International Conference on Industrial Application Engineering 2017. The Institute of Industrial Applications Engineers, 2017. http://dx.doi.org/10.12792/iciae2017.001.

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Vantigodi, Suraj, and R. Venkatesh Babu. "Entropy constrained exemplar-based image inpainting." In 2014 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2014. http://dx.doi.org/10.1109/spcom.2014.6984013.

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Yongbo Qin and Feng Wang. "A curvature constraint Exemplar-based image inpainting." In 2010 International Conference on Image Analysis and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/iasp.2010.5476116.

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J., Sreelakshmy I., and Binsu C. Kovoor. "Enhanced adaptive patch based exemplar image inpainting." In the Second International Conference. ACM Press, 2019. http://dx.doi.org/10.1145/3368691.3368699.

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Wu, Xinran, Wei Zeng, and Zhenzhou Li. "Exemplar-Based Image Inpainting with Collaborative Filtering." In Graphics (ICIG). IEEE, 2011. http://dx.doi.org/10.1109/icig.2011.53.

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Sun, Feng, Kaihuai Qin, and Wei Sun. "Fast Two-Step Exemplar-Based Image Inpainting." In 2013 Seventh International Conference on Image and Graphics (ICIG). IEEE, 2013. http://dx.doi.org/10.1109/icig.2013.26.

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Lixin Yin and Chen Chang. "An effective exemplar-based image inpainting method." In 2012 IEEE 14th International Conference on Communication Technology (ICCT). IEEE, 2012. http://dx.doi.org/10.1109/icct.2012.6511302.

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Voronin, V. V., V. I. Marchuk, N. V. Gapon, R. A. Sizyakin, A. I. Sherstobitov, and K. O. Egiazarian. "Exemplar-based inpainting using local binary patterns." In IS&T/SPIE Electronic Imaging, edited by Karen O. Egiazarian, Sos S. Agaian, and Atanas P. Gotchev. SPIE, 2014. http://dx.doi.org/10.1117/12.2038556.

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Liu, Kui, Jie qing Tan, and Ben yue Su. "Exemplar-based Image Inpainting using Structure Tesnor." In 2013 International Conference on Advanced Computer Science and Electronics Information. Atlantis Press, 2013. http://dx.doi.org/10.2991/icacsei.2013.148.

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Reports on the topic "Exemplar Based Inpainting"

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Arias, Pablo, Gabriele Facciolo, Vicent Caselles, and Guillermo Sapiro. A Variational Framework for Exemplar-Based Image Inpainting. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada540639.

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