Video-to-video dynamic super-resolution for grayscale and color sequences
EURASIP Journal on Applied Signal Processing
Super-resolution mosaicing from MPEG compressed video
Image Communication
Robust color image superresolution: an adaptive M-estimation framework
Journal on Image and Video Processing - Color in Image and Video Processing
A multi-frame image super-resolution method
Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Adaptive large scale artifact reduction in edge-based image super-resolution
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Direct energy minimization for super-resolution on nonlinear manifolds
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing
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Mosaicing and super resolution are two ways to combine information from multiple frames in video sequences. Mosaicing displays the information of multiple frames in a single panoramic image. Super-resolution uses regions, which appear in multiple frames to improve resolution and reduce noise. The aim of this work is constructing a high-resolution mosaic from a video sequence in an efficient way. Simple combination of the two methods is problematic, since the alignment used in mosaicing may not be accurate enough for super resolution. Another issue is the efficiency of the super resolution algorithm, which requires heavy computations, especially when applied to large images such as panoramic mosaics. This paper introduces two novelties. First, a framework for super resolution algorithms is presented, which enables the development of very efficient algorithms. Second, a method for applying super resolution to panoramic mosaics is presented. This method preserves the geometry of the original mosaic image, while improving its resolution.