Name
Title | ||
|---|---|---|
Algorithmic and architectural design for real-time and power-efficient Retinex image/video processing |
Abstract | ||
|---|---|---|
This paper presents novel algorithmic and architectural solutions for real-time and power-efficient enhancement of images
and video sequences. A programmable class of Retinex-like filters, based on the separation of the illumination and reflectance
components, is proposed. The dynamic range of the input image is controlled by applying a suitable non-linear function to
the illumination, while the details are enhanced by processing the reflectance. An innovative spatially recursive rational
filter is used to estimate the illumination. Moreover, to improve the visual quality results of two-branch Retinex operators
when applied to videos, a novel three-branch technique is proposed which exploits both spatial and temporal filtering. Real-time
implementation is obtained by designing an Application Specific Instruction-set Processor (ASIP). Optimizations are addressed
at algorithmic and architectural levels. The former involves arithmetic accuracy definition and linearization of non-linear
operators; the latter includes customized instruction set, dedicated memory structure, adapted pipeline, bypasses, custom
address generator, and special looping structures. The ASIP is synthesized in standard-cells CMOS technology and its performances
are compared to known Digital signal processor (DSP) implementations of real-time Retinex filters. As a result of the comparison,
the proposed algorithmic/architectural design outperforms state-of-art Retinex-like operators achieving the best trade-off
between power consumption, flexibility, and visual quality. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11554-007-0027-z | J. Real-Time Image Processing |
Keywords | Field | DocType |
application specific instruction-set processors asip � digital signal processor dsp � retinex � image enhancementreal-time image and video filters,power efficiency,linear operator,application specific instruction set processor,real time,digital signal processor,dynamic range,video processing | Computer vision,Color constancy,Video processing,Digital signal processing,Computer science,Instruction set,Digital signal processor,Filter (signal processing),Real-time computing,Artificial intelligence,Linearization,Recursion | Journal |
Volume | Issue | ISSN |
1 | 4 | 1861-8219 |
Citations | PageRank | References |
28 | 1.17 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Saponara | 1 | 392 | 58.59 |
| Luca Fanucci | 2 | 532 | 82.83 |
| Stefano Marsi | 3 | 152 | 16.78 |
| Giovanni Ramponi | 4 | 381 | 51.84 |