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Image Restoration Using Piecewise Iterative Curve Fitting and Texture Synthesis [chapter]

Ke Sun, Yingyun Yang, Long Ye, Qin Zhang
Lecture Notes in Computer Science  
This scheme is integrated with piecewise iterative curve fitting and texture synthesis, in which an original image is analyzed at the representation side so as to obtain contours and local texture exemplars  ...  The contour of each region will be processed piecewise by iterative curve-fitting procedure.  ...  Piecewise iterative curve fitting. Here, a shape feature representation, we call it piecewise iterative curve fitting, combined with top-down split algorithm and curvefitting principle is proposed.  ... 
doi:10.1007/978-3-540-87442-3_130 fatcat:t25xmlbxnfaqzeoifcv4pvvjfy

Parallel multi-regions image restoration system and its implementation

Jinliang Wan, Long Ye, Qin Zhang
2010 2010 3rd International Conference on Computer Science and Information Technology  
Image can be parsed into two main categories of representation: structure shape and region texture.  ...  Experiments have demonstrated that our PMR system can improve the restoration efficiency significantly and achieve optimal restoration.  ...  [3] presented an image restoration scheme integrated with piecewise iterative curve fitting and texture synthesis.  ... 
doi:10.1109/iccsit.2010.5564089 fatcat:ukwaxchrqvgmtiv5wpzlq5shrq

Simultaneous cartoon and texture inpainting

Jian-Feng Cai, Raymond Chan, Zuowei Shen
2010 Inverse Problems and Imaging  
Real images usually have two layers, namely, cartoons (the piecewise smooth part of the image) and textures (the oscillating pattern part of the image).  ...  In this paper, we solve image inpainting problems by using two separate tight frame systems which can sparsely represent cartoons and textures respectively.  ...  Figure 3 . 3 PSNR of restored image and numbers of iteration steps versus κ in (12) .  ... 
doi:10.3934/ipi.2010.4.379 fatcat:2dwrta3z6nbcngvqzknvwsklny

Research on iterative repair algorithm of Hyperchaotic image based on support vector machine

Xin Li, Ziguan Cui, Linhui Sun, Guanming Lu, Debnath Narayan
2019 Discrete and Continuous Dynamical Systems. Series S  
Considering the features of structural information and texture information, the maximum likelihood algorithm is used to reconstruct the pixel elements in the image region by piecewise fitting.  ...  Through the support vector machine algorithm, the image iterative restoration is carried out.  ...  Considering the features of structural information and texture information, the maximum likelihood algorithm are used to reconstruct the pixel elements in the image region by piecewise fitting.  ... 
doi:10.3934/dcdss.2019083 fatcat:lymjgqxjynb2bh5ihrotd5umte

Computational Multi-View Imaging with Kinect

Xinchen Ye, Jingyu Yang, Hao Huang, Chunping Hou, Yao Wang
2014 IEEE transactions on broadcasting  
Index Terms-Multiview imaging, Kinect, depth restoration, matrix completion, view synthesis. Y. Wang is with the  ...  The proposed method consists of two components: depth restoration from noisy and incomplete depth measurements and view synthesis from depth-color pairs.  ...  The method performs well for images with good texture and structure replication but poor in curved structures. Many latest DIBR works are built on this method and they show acceptable results.  ... 
doi:10.1109/tbc.2014.2345931 fatcat:pg6orbwmobbdbhu6xb2z5vajwu

Automatic Estimation and Removal of Noise from a Single Image

Ce Liu, R. Szeliski, Sing Bing Kang, C.L. Zitnick, W.T. Freeman
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we propose a unified framework for two tasks: automatic estimation and removal of color noise from a single image using piecewise smooth image models.  ...  We then estimate an upper bound of the real NLF by fitting a lower envelope to the standard deviations of per-segment image variances.  ...  Thus, it is natural to use a Bayesian inference for denoising or restoration [55] , [41] .  ... 
doi:10.1109/tpami.2007.1176 pmid:18084060 fatcat:up7bk3qn6jav7ab2r2kin56csq

Robust Face Alignment for Illumination and Pose Invariant Face Recognition

Fatih Kahraman, Binnur Kurt, Muhittin Gokmen
2007 2007 IEEE Conference on Computer Vision and Pattern Recognition  
These two images are blurred using a Gaussian filter, and the reference image is then updated by an iterative strategy in order to improve the quality of the restored face.  ...  The recognition rates obtained when the images restored by RI are used as input and are denoted as RI-PCA and RI-LDA.  ...  Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g.  ... 
doi:10.1109/cvpr.2007.383400 dblp:conf/cvpr/KahramanKG07 fatcat:7q3yzr3qzrf4pdzlhuieykqmda

Robust Face Alignment for Illumination and Pose Invariant Face Recognition [chapter]

Fatih Kahraman, Binnur Kurt, Muhittin Gokme
2010 Face Recognition  
These two images are blurred using a Gaussian filter, and the reference image is then updated by an iterative strategy in order to improve the quality of the restored face.  ...  The recognition rates obtained when the images restored by RI are used as input and are denoted as RI-PCA and RI-LDA.  ...  Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g.  ... 
doi:10.5772/8934 fatcat:op2ah3ef5bd4jai5gmfgeujy3a

A Review of Adaptive Image Representations

Gabriel Peyre
2011 IEEE Journal on Selected Topics in Signal Processing  
These methods have been proved useful to perform compression, denoising, inversion of linear operators and texture synthesis.  ...  Improving the modeling of natural images is important to go beyond the state of the art for many image processing tasks such as compression, denoising, inverse problems and texture synthesis.  ...  It has been used to perform image denoising and super-resolution [60] as well as texture inpainting and synthesis [76] .  ... 
doi:10.1109/jstsp.2011.2120592 fatcat:fzzfhkigvbbwdgt4qpa7a42mny

Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images

M. Zhu, W. Liu, B. Y. Wang, M. F. Zhang, W. W. Tian, X. C. Yu, T. H. Liang, D. Wu, D. Hu, F. Q. Duan
2019 Advances in Astronomy  
By using MCA, we can get line structure, gauss sources, and other structures in spatial scale images and exclude the components that are not related to filaments.  ...  MCA uses a dictionary whose elements can be wavelet translation function, curvelet translation function, or ridgelet translation function to decompose images.  ...  Define piecewise smooth component, add a TV (Total Variation) penalty [25] to fit the smooth layer. TV is used to damp ringing artifacts near edges and oscillating.  ... 
doi:10.1155/2019/2397536 fatcat:moy4t3dqzbgj7lvjv4mcxgqxwi

Learning the Morphological Diversity

Gabriel Peyré, Jalal Fadili, Jean-Luc Starck
2010 SIAM Journal of Imaging Sciences  
Sparsity in fixed dictionaries is used to extract the cartoon and oscillating content of the image.  ...  Complicated texture patterns are extracted by learning adapted local dictionaries that sparsify patches in the image.  ...  These learned dictionaries have proven useful to perform image denoising [20] , inpainting [36, 33] , texture synthesis [49] and image recognition [35] .  ... 
doi:10.1137/090770783 fatcat:be64duf2ejdpxc5mb7rphbqrre

Edge-based image restoration

A. Rares, M.J.T. Reinders, J. Biemond
2005 IEEE Transactions on Image Processing  
The edge information is used both for the reconstruction of a skeleton image structure in the missing areas, as well as for guiding the interpolation that follows.  ...  In this paper, we propose a new image inpainting algorithm that relies on explicit edge information.  ...  Atzori for making available to us the code of his restoration algorithm. The sequence used in the real case restoration (Fig. 12) is courtesy of RTP (Radiotelevisão Portuguesa).  ... 
doi:10.1109/tip.2005.854466 pmid:16238052 fatcat:g3xxslskmba5pmeanyyhioxrkq

A review of Bandlet methods for geometrical image representation

Stéphane Mallat, Gabriel Peyré
2007 Numerical Algorithms  
These bandlets can be used to perform image compression and noise removal.  ...  Orthogonal bandlets using an adaptive segmentation and a local geometric flow are well suited to capture the anisotropic regularity of edge structures.  ...  Texture synthesis.  ... 
doi:10.1007/s11075-007-9092-4 fatcat:3saod3efbrc7jalifopeoziwo4

From Textural Inpainting to Deep Generative Models: An Extensive Survey of Image Inpainting Techniques

Setika Mehra, Ayush Dogra, Bhawna Goyal, Apoorav Maulik Sharma, Ramesh Chandra
2020 Journal of Computer Science  
The inpainted image result can be evaluated using subjective and objective analysis, with emphasis on subjective analysis as a dedicated tool for evaluation.  ...  an image with restored absent information.  ...  Acknowledgement The authors express sincere gratitude to Editor in chief and staff for providing this opportunity to draft this extensive review article in the field of image inpainting.  ... 
doi:10.3844/jcssp.2020.35.49 fatcat:2ro4timl7rhhnpg7kr346s5aam

Image decomposition via the combination of sparse representations and a variational approach

J.-L. Starck, M. Elad, D.L. Donoho
2005 IEEE Transactions on Image Processing  
This paper presents a novel method for separating images into texture and piecewise smooth (cartoon) parts, exploiting both the variational and the sparsity mechanisms.  ...  The separation of image content into semantic parts plays a vital role in applications such as compression, enhancement, restoration, and more.  ...  Stanley Osher and Prof. Luminita Vese for helpful discussions, and for sharing their results to be presented in this paper.  ... 
doi:10.1109/tip.2005.852206 pmid:16238062 fatcat:ra2di3e6enarfoupbjyf2it36q
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