Wavelets have widely been used in many signal and image processing applications. In this paper, a new
serial-parallel architecture for wavelet-based image compression is introduced. It is based on a 4-tap wavelet
transform, which is realised using some FIFO memory modules implementing a pixel-level pipeline
architecture to compress and decompress images. The real filter calculation over 4 · 4 window blocks is
done using a tree of carry save adders to ensure the high speed processing required for many applications.
The details of implementing both compressor and decompressor sub-systems are given. The primarily analysis
reveals that the proposed architecture, implemented using current VLSI technologies, can process a
video stream in real time.
Text processing often involves matching text against a pattern. Although Java s character and assorted string classes offerlow- levelpattern- matching support, that support commonly leads to complex code. To help you write simplerpattern- matching code, Java provides regular expressions. After introducing you to terminology and thejava.util. regex package, Jeff Friesen explores many regular expression constructs supported by that package s Pattern class. Then he examines Pattern s methods and the additionaljava.util. regex classes. In conclusion, he presents a practical application of regular expressions.
IT++ is a C++ library of mathematical, signal processing and communication system routines/functions. Its main use is in simulation of communication systems or for performing research in the area of communications.
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This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures).
Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own.
I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
