Name
Abstract | ||
|---|---|---|
It is well known that blocking effects constitute one of the main drawbacks of discrete-cosine-transform-based lossy coding schemes. In this paper, we first propose a distortion measure for blocking artifacts in images. The visibility of blocking error is computed based on several characteristics of the observer's visual perception, and an image quality factor is derived based on the artifact visibilities. We then develop a novel approach for removing blocking effects in transform-coded images. The technique is based on a nonlinear, spatially variant adaptive smoothing operation which exploits the visibility measure of blocking artifacts present in the decoded image. It introduces no modification on actual image compression standards and allows one to reduce the blockiness without significantly blurring the image. Experimental results obtained at low bit rate show that both objective and subjective quality of the reconstructed images are greatly improved. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1006/jvci.1997.0361 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
image compression,human visual perception,video post-processing,picture quality | Computer vision,Visibility,Blocking effect,Pattern recognition,Discrete cosine transform,Image quality,Smoothing,Artificial intelligence,Observer (quantum physics),Distortion,Mathematics,Image compression | Journal |
Volume | Issue | ISSN |
8 | 4 | 1047-3203 |
Citations | PageRank | References |
1 | 0.38 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. -X. Coudoux | 1 | 22 | 4.25 |
| Marc Gazalet | 2 | 68 | 16.44 |
| patrick corlay | 3 | 1 | 0.38 |
| Jean Michel Rouvaen | 4 | 53 | 13.24 |