Name
Abstract | ||
|---|---|---|
We propose the theory of image neighborhood processing which includes algorithm, storage and processing for parallel image data. Its core idea lies in the identity and parallelism of data structures used by software algorithm, memory and processing unit. This theory solves the problem of frame data flow which is the bottleneck of high speed image processing. In this paper, we discuss the storage structure using incomplete rotate matrix and its corresponding processing unit. Based on the theory of image neighborhood processing, we have developed NIPC-3 neighborhood image parallel computer, providing parallel access to very large neighborhood image. The largest size of neighborhood core is 25 Ã 24 and the peak speed of neighborhood computing reaches 135 billion multiplication-accumulation operations per second. Experimental results show that NIPC-3 enables much faster implementation for low level processing and can be utilized by more complex algorithms. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5414487 | ICIP |
Keywords | Field | DocType |
parallel processing,image processing,parallel image data,neighborhood computing,neighborhood image,parallel image data storage,image neighborhood processing,visual databases,storage management,data structures,rotate matrix,parallel memory,parallel access,data structure,storage structure,nipc-3 neighborhood image parallel,software algorithm,image neighborhood parallel processing,frame data flow,processing unit,parallel image data processing,nipc-3 neighborhood image parallel computer,neighborhood core,low level processing,data flow analysis,large neighborhood image,parallel memories,corresponding processing unit,high speed image processing,parallel computer,pixel,convolution,data flow,field programmable gate arrays,computer architecture | Feature detection (computer vision),Computer science,Image processing,Software,Computational science,Artificial intelligence,Data flow diagram,Computer vision,Data structure,Parallel computing,Digital image processing,Neighborhood operation,Pixel connectivity | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 1 |
PageRank | References | Authors |
0.37 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangda Su | 1 | 133 | 20.68 |
| Jiongxin Liu | 2 | 158 | 6.34 |
| Yan Shang | 3 | 48 | 4.04 |
| Boya Chen | 4 | 1 | 0.37 |
| Shi Chen | 5 | 1 | 0.37 |