Name
Abstract | ||
|---|---|---|
This article introduces a new adaptive method for image interpolation. In order to obtain a high resolution (HR) image from its low resolution (LR) counterpart (original image), an interpolator function (array) is used, and the main focus of this manuscript is to formulate and define this function. By applying this interpolator function to each row and column of a LR image, it is possible to construct its HR counterpart. One of the main challenges of image interpolation algorithms is to maintain the edge structures while developing an HR image from the LR replica. The proposed approach overcomes this challenge and exhibits remarkable results at the image edges. The peak signal to noise ratio and structural similarity criteria by using this innovative technique are notably better than those achieved by alternative schemes. Also, in terms of implementation speed, this method displays a clear advantage and outperforms the high performance algorithms in the ability to decrease the artifact results of image enlargement such as blurring and zigzagging. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1186/1687-6180-2012-197 | EURASIP J. Adv. Sig. Proc. |
Keywords | Field | DocType |
Image interpolation, Linear least square, Low resolution, High resolution | Computer vision,Peak signal-to-noise ratio,Replica,Feature detection (computer vision),Computer science,Binary image,Image processing,Artificial intelligence,Image restoration,Digital image processing,Image scaling | Journal |
Volume | Issue | ISSN |
2012 | 1 | 1687-6180 |
Citations | PageRank | References |
4 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mozhgan Bayat | 1 | 4 | 0.34 |
| Ghazaleh Kafaie Shirmanesh | 2 | 4 | 0.34 |
| Ali Ayremlou | 3 | 23 | 3.92 |
| Farrokh Marvasti | 4 | 113 | 13.55 |