A DSP Implementation of Embedded Zerotree
Wavelet (EZW) Image CODEC in Image
Compression System

Digital image compression is a very popular topic in the field of multimedia processing. The major focus of work is to develop different compression schemes/algorithms to provide good visual quality fewer bit to represent an image in digital format.

This paper work describes software and hardware implementation of Embedded Zerotree Wavelet (EZW) image Coder-Decoder (CODEC).The EZW image CODEC is used to compress and decompress gray scale image in image compression system. Here, EZW CODEC is implemented by Texas Instruments Digital Signal Processor (DSP) TMS320C6713 board. The EZW CODEC algorithms has been transferred into C and assembly code in Code Composer Studio (CCS) in order to program the C6713 DSP processor. The statistical analysis is also carried out with profile statistic available in CCS environment.

With the development tools provided for the C6713 DSP platform, it created easy-to-use environment that optimizes the devices’ performance and minimizes technical barriers to software and hardware design

INTRODUCTION

With the growth of technology and the entrance into the Digital Age, the world has found itself a vast amount of information. Dealing with such enormous amount of information can often present difficulties. Digital information must be stored, retrieved, analyzed and processed in an efficient manner, in order for it to be put to practical use.

A. Need for Compression

Today is an era of internet, images, motion pictures etc. Transmission and usage of image can not be avoided. Image compression is a technique which makes storage and transmission of images more practical. the basic requirement of maintaining image quality is easily translated into two basic quantitative parameters:

1) Rate of digital image data transfer or data rate (Megabit per second or Mb/s)

2) Total amount of digital storage required or data.
With image compression both data rate and data capacity are reduced to great extent. So less space, less time and less bandwidth are required for storage and transmission of digital images.
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