Name
Abstract | ||
|---|---|---|
High dynamic range image processing have recently become an important topic in consumer electronics market. While multi-scale retinex with color restoration (MSRCR) have been well developed, disadvantages of low performance is not favorable to a mobile computer-vision system. To remedy the above problem, this paper proposes an accelerated MSRCR with effective use of ARM Cortex-A9 architecture and NEON SIMD technology. A linear sampling method with binomial normal approximation is developed for improving performance of Gaussian smoothing. Overall performance improvement of MSRCR algorithm on Zedboard platform is 74% compared to original ARM optimized C code compiled to Cortex-A9 processor architecture. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCE-TW.2014.6904110 | Consumer Electronics - Taiwan |
Keywords | DocType | Citations |
gaussian processes,approximation theory,image colour analysis,image restoration,image sampling,microprocessor chips,smoothing methods,arm cortex-a9 processor architecture,arm neon,arm optimized c code,gaussian smoothing,msrcr algorithm,neon simd technology,zedboard platform,binomial normal approximation,color restoration,consumer electronics market,high dynamic range image processing,linear sampling method,multiscale retinex acceleration | Conference | 1 |
PageRank | References | Authors |
0.49 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ching-Tang Fan | 1 | 1 | 0.49 |
| Jian-Ru Chen | 2 | 1 | 0.49 |
| Chung-Wei Liang | 3 | 1 | 0.49 |
| Yuan-Kai Wang | 4 | 312 | 30.44 |