Hallucinating Compressed Face Images

[1]  Luc Van Gool,et al.  A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.

[2]  Ming-Hsuan Yang,et al.  Compressed face hallucination , 2014, 2014 IEEE International Conference on Image Processing (ICIP).

[3]  Jian-Huang Lai,et al.  Face hallucination with imprecise-alignment using iterative sparse representation , 2014, Pattern Recognit..

[4]  Michael S. Brown,et al.  A Contrast Enhancement Framework with JPEG Artifacts Suppression , 2014, ECCV.

[5]  Ruimin Hu,et al.  Noise Robust Face Hallucination via Locality-Constrained Representation , 2014, IEEE Transactions on Multimedia.

[6]  Michael S. Brown,et al.  A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting , 2013, 2013 IEEE International Conference on Computer Vision.

[7]  Chih-Yuan Yang,et al.  Structured Face Hallucination , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Fernando De la Torre,et al.  Supervised Descent Method and Its Applications to Face Alignment , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Ce Liu,et al.  A Bayesian Approach to Alignment-Based Image Hallucination , 2012, ECCV.

[10]  Deva Ramanan,et al.  Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Thomas S. Huang,et al.  Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.

[12]  Adam Finkelstein,et al.  The Generalized PatchMatch Correspondence Algorithm , 2010, ECCV.

[13]  Feng Wu,et al.  Robust Web Image/Video Super-Resolution , 2010, IEEE Transactions on Image Processing.

[14]  Chun Qi,et al.  Hallucinating face by position-patch , 2010, Pattern Recognit..

[15]  Shree K. Nayar,et al.  Attribute and simile classifiers for face verification , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[16]  Guillermo Sapiro,et al.  Non-local sparse models for image restoration , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[17]  Seong-Whan Lee,et al.  An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images , 2008, IEEE Transactions on Image Processing.

[18]  Takeo Kanade,et al.  Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[19]  Weisi Lin,et al.  Efficient Deblocking With Coefficient Regularization, Shape-Adaptive Filtering, and Quantization Constraint , 2008, IEEE Transactions on Multimedia.

[20]  Thomas S. Huang,et al.  Image super-resolution as sparse representation of raw image patches , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[21]  Kwang In Kim,et al.  Example-Based Learning for Single-Image Super-Resolution , 2008, DAGM-Symposium.

[22]  Harry Shum,et al.  Face Hallucination: Theory and Practice , 2007, International Journal of Computer Vision.

[23]  Karen O. Egiazarian,et al.  Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images , 2007, IEEE Transactions on Image Processing.

[24]  Robert D. Nowak,et al.  On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising , 2006, 2006 International Conference on Image Processing.

[25]  Shaogang Gong,et al.  Multi-modal tensor face for simultaneous super-resolution and recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[26]  Xiaogang Wang,et al.  Hallucinating face by eigentransformation , 2005, IEEE Trans. Syst. Man Cybern. Part C.

[27]  Jean-Michel Morel,et al.  A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[28]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[29]  Alan C. Bovik,et al.  . Efficient DCT-domain blind measurement and reduction of blocking artifacts , 2002, IEEE Trans. Circuits Syst. Video Technol..

[30]  Michael J. Jones,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[31]  Takeo Kanade,et al.  Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[32]  Amanpreet Kaur,et al.  Reduction of Blocking Artifacts in JPEG Compressed Images , 2016 .

[33]  Xuelong Li,et al.  A Comprehensive Survey to Face Hallucination , 2013, International Journal of Computer Vision.