Efficient Fourier-Wavelet Super-Resolution

Redundant Wavelet Transform Based Image Super Resolution

The process of Super Resolution (SR) aims at extracting a high resolution image from low resolution image. The proposed technique uses Redundant Wavelet Transform to enhance the resolution of an image using a single low resolution image. The proposed method decomposes the input image into different subbands. Then all subbands are interpolated. Combining all the interpolated subbands using Inver...

Wavelet-domain HMT-based image super-resolution

In this paper we propose an image super-resolution algorithm using wavelet-domain Hidden Markov Tree (HMT) model. Wavelet-domain HMT models the dependencies of multiscale wavelet Coefficients through the state probabilities of wavelet coefficients, whose distribution densities can be approximated by the Gaussian mixture. Because wavelet-domain HMT accurately characterizes the statistics of real...

Super-Resolution of Wavelet-Encoded Images

Multiview super-resolution image reconstruction (SRIR) is often cast as a resampling problem by merging non-redundant data from multiple low-resolution (LR) images on a finer high-resolution (HR) grid, while inverting the effect of the camera point spread function (PSF). One main problem with multiview methods is that resampling from nonuniform samples (provided by LR images) and the inversion ...

Efficient Super-Resolution and Applications to Mosaics

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....

Efficient image warping and super-resolution