Name
Abstract | ||
|---|---|---|
In this paper, we propose a pixel-splitting based image amplification method, which involves two main operations: edge-keeping and mean-keeping. Our main idea is to splitting each parent-pixel into multiple sub-pixels. Based on the edge detection and image gradient, we separate edge into vertical and horizontal short rods. The main orientation of each rod is estimated. Then the intensities of sub-pixels around the rod are calculated according to the intensities and edge orientation of parent-pixels. The rest sub-pixels are estimated based on the principle of mean-keeping. The experimental results demonstrate that our method is effective in zigzagging artifacts reduction, de-blurring, and contrast enhancement. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7025796 | ICIP |
Keywords | Field | DocType |
Image amplification,pixel-splitting,image interpolation,edge-keeping,mean-keeping | Computer vision,Image gradient,Feature detection (computer vision),Range segmentation,Edge detection,Binary image,Artificial intelligence,Image restoration,Morphological gradient,Mathematics,Edge enhancement | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fu Xiangyi | 1 | 0 | 0.34 |
| Zhou | 2 | 78 | 11.31 |
| QM | 3 | 464 | 72.05 |