Retinex Image Processing--Publications--GSPX 2004
Conference
Single-Scale Retinex Using Digital Signal Processors
Glenn Hines, Zia-ur Rahman, Daniel J. Jobson, and Glenn A. Woodell
Abstract
The Retinex is an image enhancement algorithm that improves the brightness, contrast and sharpness
of an image. It performs a non-linear spatial/spectral transform that provides simultaneous dynamic
range compression and color constancy. It has been used for a wide variety of applications ranging
from aviation safety to general purpose photography. Many potential applications require the use of
Retinex processing at video frame rates. This is difficult to achieve with general purpose
processors because the algorithm contains a large number of complex computations and data
transfers. In addition, many of these applications also constrain the potential architectures to
embedded processors to save power, weight and cost. Thus we have focused on digital signal
processors (DSPs) and field programmable gate arrays (FPGAs) as potential solutions for real-time
Retinex processing. In previous eorts we attained a 21 (full) frame per second (fps) processing
rate for the singlescale monochromatic Retinex with a TMS320C6711 DSP operating at 150 MHz. This
was achieved after several significant code improvements and optimizations. Since then we have
migrated our design to the slightly more powerful TMS320C6713 DSP and the fixed point TMS320DM642
DSP. In this paper we briefly discuss the Retinex algorithm, the performance of the algorithm
executing on the TMS320C6713 and the TMS320DM642, and compare the results with the TMS320C6711.
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