Name
Abstract | ||
|---|---|---|
In this paper, we propose a measurement allocation to reduce the blocking artifacts existing in the Block Compressive Sensing (BCS) system of image. We compute the error between each image block and its adjacent ones, and evaluate the structure complexity of each block. According to the error energy, each block is adaptively measured and reconstructed. Experimental results show that the proposed method improves the qualities of reconstructed images from both subjective and objective points of view when compared with BCS of image. |
Year | Venue | Field |
|---|---|---|
2018 | ICCCS | Computer vision,Spatial correlation,Computer science,Real-time computing,Feature extraction,Artificial intelligence,Compressed sensing |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaomeng Duan | 1 | 0 | 0.34 |
| Xu Li | 2 | 40 | 20.61 |
| Ran Li | 3 | 30 | 6.80 |