Super-Resolution Reconstruction from Single Image Based on Join Operation in Granular Computing

Improving the resolution of the image is convenient for people to study the local details of the image, and plays an important role in computer vision. The problem of generating a corresponding sup...

[1]  Ling Shao,et al.  Efficient Feature Selection and Classification for Vehicle Detection , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Hwei-Jen Lin,et al.  Super-Resolution Based on Clustered Examples , 2016, Int. J. Pattern Recognit. Artif. Intell..

[3]  George A. Papakostas,et al.  Two Fuzzy Lattice Reasoning (FLR) Classifiers and their Application for Human Facial Expression Recognition , 2014, J. Multiple Valued Log. Soft Comput..

[4]  Javier-Flavio Vigueras,et al.  Phase correlation with sub-pixel accuracy: A comparative study in 1D and 2D , 2015, Comput. Vis. Image Underst..

[5]  George A. Papakostas,et al.  Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications , 2015, IEEE Computational Intelligence Magazine.

[6]  Vassilis G. Kaburlasos,et al.  Binary Image 2D Shape Learning and Recognition Based on Lattice-Computing (LC) Techniques , 2011, Journal of Mathematical Imaging and Vision.

[7]  Etienne E. Kerre,et al.  Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of $\mathbb{L}$-Fuzzy Mathematical Morphology , 2012, Journal of Mathematical Imaging and Vision.

[8]  R. Keys.  Cubic convolution interpolation for digital image processing , 1981 .

[9]  Yazdan Jamshidi,et al.  gsaINknn: A GSA optimized, lattice computing knn classifier , 2014, Eng. Appl. Artif. Intell..

[10]  Athanasios Kehagias,et al.  Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory , 2014, IEEE Transactions on Fuzzy Systems.

[11]  Sam Kwong,et al.  Efficient Motion and Disparity Estimation Optimization for Low Complexity Multiview Video Coding , 2015, IEEE Transactions on Broadcasting.

[12]  Patrick Siarry,et al.  Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction , 2013, Digit. Signal Process..

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

[14]  Peter Sussner,et al.  Quantale-based autoassociative memories with an application to the storage of color images , 2013, Pattern Recognit. Lett..

[15]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[16]  George A. Papakostas,et al.  Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view , 2013, Pattern Recognit. Lett..

[17]  Gouda I. Salama,et al.  Adaptive regularization-based super resolution reconstruction technique for multi-focus low-resolution images , 2014, Signal Process..