Name
Abstract | ||
|---|---|---|
This paper investigates a new interpolation technique based on content adaptive interpolation with fuzzy reasoning. The proposed technique reduces image artifacts in regions where moving object cannot be well traced by motion estimation. Our proposed method consists of two parts: content classification and fuzzy weight assignment process. The spatial deinterlacing methods have been studied excessively in literature. The edge based line average method yields relatively good performance with low complexity. On the basis of the above method, six useful measurements are obtained within the 5-by-3 spatial window to prevent false edge direction decisions in computing the direction where the interpolation is to be operated. The simulation results indicate that the developed method can generate high quality intra-interpolation picture for interlaced images. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5414448 | ICIP |
Keywords | Field | DocType |
fuzzy weight decision,image artifacts,fuzzy set theory,fuzzy reasoning,spatial deinterlacing method,fuzzy reasoning approach,spatial window,interpolation,developed method,interpolation technique,spatial deinterlacing methods,false edge direction decision,edge based line average method,deinterlacing,motion estimation,interlaced image enhancement,image reconstruction,content adaptive interpolation,false edge direction decisions,image classification,content classification,edge detection,interlaced image,fuzzy weight assignment process,image enhancement,new interpolation technique,line average method yield,pixel,psnr | Computer vision,Nearest-neighbor interpolation,Pattern recognition,Computer science,Deinterlacing,Edge detection,Fuzzy logic,Interpolation,Fuzzy set,Artificial intelligence,Motion estimation,Contextual image classification | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 1 |
PageRank | References | Authors |
0.36 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gwanggil Jeon | 1 | 596 | 117.99 |
| Sangjun Park | 2 | 34 | 10.86 |
| Joohyun Lee | 3 | 6 | 1.50 |
| Rokkyu Lee | 4 | 7 | 2.51 |
| Seungjong Kim | 5 | 22 | 6.91 |
| Jechang Jeong | 6 | 1002 | 141.22 |