KEYWORDS: Digital signal processing, Image processing, Video, Signal processing, Image compression, Video processing, Convolution, Software development, Visualization, Algorithm development
Realistic image rendition is to reproduce the human perception of natural scenes. Retinex is a classical algorithm that
simultaneously provides high dynamic range compression contrast and color constancy of an image. In this paper, we
discuss a design of a digital signal processor (DSP) implementation of the single scale monochromatic Retinex algorithm.
The target processor is Texas Instruments TMS320DM642, a 32-bit fix point DSP which is clocked at 600 MHz. This
DSP hardware platform designed is of powerful consumption and video image processing capability. We give an
overview of the DSP hardware and software, and discuss some feasible optimizations to achieve a real-time version of
the Retinex algorithm. In the end, the performance of the algorithm executing on DSP platform is shown.
One of the key procedures in color image compression is to extract its region of interests (ROIs) and evaluate different
compression ratios. A new non-uniform color image compression algorithm with high efficiency is proposed in this
paper by using a biology-motivated selective attention model for the effective extraction of ROIs in natural images.
When the ROIs have been extracted and labeled in the image, the subsequent work is to encode the ROIs and other
regions with different compression ratios via popular JPEG algorithm. Furthermore, experiment results and quantitative
and qualitative analysis in the paper show perfect performance when comparing with other traditional color image
compression approaches.
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