Image Enlargement by Nonlinear Frequency Extrapolation with Morphological Operators
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Fuzzy-adapted linear interpolation algorithm for image zooming
Signal Processing
Locally edge-adapted distance for image interpolation based on genetic fuzzy system
Expert Systems with Applications: An International Journal
On the role of exponential splines in image interpolation
IEEE Transactions on Image Processing
Multi-scale image de-noising and de-cluttering using cross-scale mathematical morphology
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Two-stage interpolation algorithm based on fuzzy logics and edges features for image zooming
EURASIP Journal on Advances in Signal Processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Image enlargement by applying coordinate rotation and kernel stretching to interpolation kernels
EURASIP Journal on Advances in Signal Processing
Wireless Personal Communications: An International Journal
Eigentransformation-based face super-resolution in the wavelet domain
Pattern Recognition Letters
Research on Interpolation Methods in Medical Image Processing
Journal of Medical Systems
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We describe a spatially adaptive algorithm for image interpolation. The algorithm uses a wavelet transform to extract information about sharp variations in the low-resolution image and then implicitly applies interpolation which adapts to the image local smoothness/singularity characteristics. The proposed algorithm yields images that are sharper compared to several other methods that we have considered in this paper. Better performance comes at the expense of higher complexity.