Name
Abstract | ||
|---|---|---|
Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower computational complexity than using the spatial representation. To reproduce such conditions, demosaicing, denoising, contrast correction and classification algorithms are executed over several well known embedded cores (Leon3, Cortex A9 and DSP C6x). Wavelet-based image reconstruction shows higher image quality and lower computational complexity (3x) than usual spatial reconstruction. The use of wavelet decomposition also permits to increase the recognition rate of faces while decreasing computational complexity by a factor 25. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.sysarc.2013.07.007 | Journal of Systems Architecture - Embedded Systems Design |
Keywords | Field | DocType |
higher image quality,good quality image processing,embedded specification,wavelet-based image reconstruction,lower computational complexity,embedded core,high-quality image,embedded sensor,smart camera,embedded device,low hardware resource,computational complexity,wavelet,embedded systems,demosaicing,dwt,denoising | Computer vision,Digital signal processing,Computer science,Image processing,Smart camera,Image quality,Demosaicing,Artificial intelligence,Computer hardware,Digital image processing,Computational complexity theory,Wavelet | Journal |
Volume | Issue | ISSN |
59 | 10 | 1383-7621 |
Citations | PageRank | References |
2 | 0.38 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sébastien Courroux | 1 | 2 | 0.38 |
| Stéphane Chevobbe | 2 | 29 | 6.50 |
| Mehdi Darouich | 3 | 7 | 2.79 |
| Michel Paindavoine | 4 | 115 | 21.70 |