Name
Abstract | ||
|---|---|---|
A method for reducing blocking artifacts in compressed images coded by the block discrete cosine transform (BDCT) is presented. Problems arising from the independent transfrom and quantization of individual blocks result in blocking artifacts. This study is aimed at reducing the blocking artifacts while avoiding excessively blurring the underlying image. The theory of projection onto convex sets (POCS) is applied. An image before compression is simulated by a locally adaptive triangualr mesh. The forms the basis of a smoothness constraint set. To construct such a mesh, each image block is divided into a set of triangles. The number of triangles in a perimental results show that the proposed method outperforms two competing methods. |
Year | Venue | Keywords |
|---|---|---|
2001 | VIP | independent transfrom,perimental result,underlying image,adaptive triangualr mesh,individual blocks result,convex set,image block,smoothness constraint set,block discrete cosine,jpeg,cosine transform |
Field | DocType | ISBN |
Computer vision,Lapped transform,Block discrete cosine transform,Discrete cosine transform,Transform coding,Regular polygon,JPEG,Artificial intelligence,Smoothness,Quantization (signal processing),Mathematics | Conference | 0-909-92589-5 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ju Jia Zou | 1 | 198 | 20.00 |
| Hong Yan | 2 | 3628 | 335.04 |