
This paper develops an interpolation algorithm for generating a high-resolution image from a low-resolution input image. The idea is to use a simple wavelet-based linear interpolation scheme as our initial high-resolution image; and an iterative projection process based on hard-thresholding scheme in a new Multiselective Contourlets domain, to improve the regularity of object boundaries in the generated images. Experimental results show that the new proposed algorithm achieves better high-resolution results than bicubic interpolation, and classic contourlet transform high-resolution methods, in subjective quality, and in most cases, in terms of PSNR as well.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
