Name
Abstract | ||
|---|---|---|
Most video data compression standards use block-based motion estimation and the discrete cosine transform. This scheme takes advantage of the local spatial correlation property of images. However, it induces the well-known blocking artifacts, corner outliers, and ringing noise when the image is highly compressed. Conventional 2-D techniques for contrast sharpening cannot be applied to the enhancement of block-coded image sequences, because they emphasize such artifacts that become very visible and annoying in an image sequence. The local spectra and bandwidth of both the noise and the signal vary spatially, and the characteristics of the filters need to be locally adapted. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0923-5965(02)00105-4 | Signal Processing: Image Communication |
Keywords | Field | DocType |
Video enhancement,Nonlinear filtering,Sharpening of coded video | Sharpening,Ringing artifacts,Computer vision,Ringing,Computer science,Overshoot (signal),Discrete cosine transform,Artificial intelligence,Motion estimation,Data compression,Image compression | Journal |
Volume | Issue | ISSN |
18 | 2 | 0923-5965 |
Citations | PageRank | References |
1 | 0.41 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gaetano Scognamiglio | 1 | 1 | 0.41 |
| Giovanni Ramponi | 2 | 381 | 51.84 |
| Andrea Rizzi | 3 | 20 | 3.74 |