An analysis of image interpolation, differentiation, and reduction using local polynomial fits
Graphical Models and Image Processing
Interval-valued fuzzy sets constructed from matrices: Application to edge detection
Fuzzy Sets and Systems
Super resolutionwith probabilistic motion estimation
IEEE Transactions on Image Processing
Super-resolution without explicit subpixel motion estimation
IEEE Transactions on Image Processing
Fuzzy filter based on interval-valued fuzzy sets for image filtering
Fuzzy Sets and Systems
Fuzzy transforms: Theory and applications
Fuzzy Sets and Systems
Image thresholding using type II fuzzy sets
Pattern Recognition
New learning based super-resolution: use of DWT and IGMRF prior
IEEE Transactions on Image Processing
New learning based super-resolution: use of DWT and IGMRF prior
IEEE Transactions on Image Processing
Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice
Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice
Image Superresolution Using Support Vector Regression
IEEE Transactions on Image Processing
Enlargement or reduction of digital images with minimum loss of information
IEEE Transactions on Image Processing
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In this work we associate an Interval-Valued Fuzzy Set with an image, so that the membership of ecah pixel represents the intensities of itself and its neighbourhood. Based on this set we propose a new simple super-resolution algorithm for color images. We show some experimental results and study how the δ parameter has influence on the results obtained by the algorithm.