Abstract | ||
---|---|---|
In this study, a new method is proposed to achieve a high resolution (HR) image from low resolution (LR) video frames, which include camera motions as well as local motions. The best matching block in the motion estimation is obtained by using the variable size block matching (VSBM) algorithm. Furthermore, before merging the pixels, the outlier pixels were cleaned using statistical outlier detection method. Peak-signal-to-noise ratio (PSNR) and structural similarity index measurement (SSIM) were used to compare the experimental results of the proposed method. |
Year | Venue | Keywords |
---|---|---|
2017 | Signal Processing and Communications Applications Conference | image enhancement,outlier detection,variable size block matching |
Field | DocType | ISSN |
Anomaly detection,Computer vision,Pattern recognition,Computer science,Outlier,Pixel,Artificial intelligence,Motion estimation,Merge (version control),Image resolution | Conference | 2165-0608 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yildiray Anagün | 1 | 0 | 1.01 |
Nihat Adar | 2 | 1 | 2.04 |
Erol Seke | 3 | 2 | 4.43 |