Name
Abstract | ||
|---|---|---|
This paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/BMSB.2013.6621765 | Broadband Multimedia Systems and Broadcasting |
Keywords | Field | DocType |
data compression,discrete cosine transforms,image coding,3D content,3D image compression,holoscopic 3D imaging,integral imaging,mean adaptive 3D-DCT algorithm,3D-DCT,Adaptive algorithm,Blocking artifacts,Compression,Holoscopic,Integral image,Ringing artifacts | Ringing artifacts,Computer vision,Compression (physics),Data compression ratio,Computer science,Discrete cosine transform,Artificial intelligence,Adaptive algorithm,Data compression,Image compression,3d image | Conference |
ISSN | Citations | PageRank |
2155-5044 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehanna, A. | 1 | 0 | 0.34 |
| Amar Aggoun | 2 | 115 | 21.34 |
| O. Abdul Fatah | 3 | 4 | 3.06 |
| Mohammad Rafiq Swash | 4 | 23 | 7.62 |
| Emmanuel Tsekleves | 5 | 91 | 17.00 |