Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Enhanced Biggs---Andrews Asymmetric Iterative Blind Deconvolution
Multidimensional Systems and Signal Processing
Resolution enhancement via probabilistic deconvolution of multiple degraded images
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
EURASIP Journal on Advances in Signal Processing
A New Super-Resolution Algorithm Based on Areas Pixels and the Sampling Theorem of Papoulis
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
A soft MAP framework for blind super-resolution image reconstruction
Image and Vision Computing
A new method for parameter estimation of edge-preserving regularization in image restoration
Journal of Computational and Applied Mathematics
Joint Blind Super-Resolution and Shadow Removing
IEICE - Transactions on Information and Systems
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Resolution enhancement based on learning the sparse association of image patches
Pattern Recognition Letters
Super-resolution without explicit subpixel motion estimation
IEEE Transactions on Image Processing
Understanding video sequences through super-resolution
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
A SVM-based blur identification algorithm for image restoration and resolution enhancement
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Edge model based high resolution image generation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Supervised restoration of degraded medical images using multiple-point geostatistics
Computer Methods and Programs in Biomedicine
Virtual Magnifier-Based Image Resolution Enhancement
International Journal of Digital Library Systems
Adaptive regularization-based space-time super-resolution reconstruction
Image Communication
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In many image restoration/resolution enhancement applications, the blurring process, i.e., point spread function (PSF) of the imaging system, is not known or is known only to within a set of parameters. We estimate these PSF parameters for this ill-posed class of inverse problem from raw data, along with the regularization parameters required to stabilize the solution, using the generalized cross-validation method (GCV). We propose efficient approximation techniques based on the Lanczos algorithm and Gauss quadrature theory, reducing the computational complexity of the GCV. Data-driven PSF and regularization parameter estimation experiments with synthetic and real image sequences are presented to demonstrate the effectiveness and robustness of our method