Abstract:
Due to increase in the demand of graphics based technology, image processing
has become a significant subject. Results gets better with the decrease in time
required for processing. For this particular purpose a dedicated processor for
image processing is a key component. There are many processors available that
work dedicatedly for image processing. But more research is required when we
have special requirements like speed, flexibility and reliability with real time
processing. In this particular project the optimized solution with greater speed
and better parallel processing for images has been presented using FPGA.
Customized ISA for dedicated GPU has been developed on Xilinx with forty nine
different instructions. Instructions include the regular arithmetic and logical
instructions, control branch instructions with vector instructions that are designed
especially for fast image processing. To process instructions in parallel, technique
of C-slow is being used. To further enhance the processing speed of the
instructions, micro pipelining has been in-cooperated. Further to test the
capabilities of this custom GPU, an application of template matching on .NET of
has been developed. The application runs successfully on the personalized
processor thus fulfilling the objective of area and time effective architecture for
a standalone processor with essential built in resources for template matching
application.
