Design of on-line arithmetic networks for signal processing applications : a color filter implementation
have been designed and analyzed in many papers. Various arguments have
been made for on-line arithmetic over other bit-serial and parallel approaches.
However, the majority, if not all of the on-line network implementations presented
throughout the literature do not take into account the input and interfacing issues
involved when dealing with real applications. Most studies of on-line network implementations
are limited to common components of DSP algorithms but do not
consider the impact they have on the whole system.
This thesis investigates the use of on-line arithmetic in implementing a
color image filtering algorithm. A complete analysis of the algorithm takes into
account input value ranges, memory requirements, error analysis, and processing
throughput. An equal emphasis is placed on what the end-user is to expect.
The realization of the image processing algorithm is presented using conventional
on-line modules. A comparison to the estimates of parallel and other
traditional bit-serial approaches is done. The results show that the on-line implementation saves the designer an overwhelming amount of area as opposed to
a strictly parallel implementation and reduces complexity when compared to an
implementation using traditional bit-serial modules, while still providing a significant
throughput.
Advisor:Tenca, Alexandre F.
School:Oregon State University
School Location:USA - Oregon
Source Type:Master's Thesis
Keywords:image processing digital techniques signal mathematics online algorithms
ISBN:
Date of Publication:06/10/2004