—The subject of extracting high-resolution data from low-resolution images is one of the most important digital processing applications in recent years, attracting much research....
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...
In this paper, we propose a method for recognizing lowresolution characters using a super-resolution technique. Although portable digital cameras can be used for camerabased chara...
In this paper, we focus on the reconstruction of iDQC MR spectroscopy data. Unlike standard 1-D MR spectroscopy schemes, iDQC acquires 2-D spectral data to decouple the magnetic f...
Inspired by multi-scale tensor voting, a computational framework for perceptual grouping and segmentation, we propose an edge-directed technique for color image superresolution gi...