VLSI Architecture Using a Modified SQRT Carry Select Adder in Image Compression

K Indiradevi,R Shanmugalakshmi

doi:10.19026/rjaset.11.1670

Abstract

Designing a compressor with the parameters such as power, delay and area are most considerable metric in VLSI design. Compression process plays a vital role in image processing and the main building block is the multiplier. Image conversion is done in MATLAB and the compression is done using VHDL in VLSI. Finally, the compression ratio is predicted using MATLAB. CPA (Carry Propagation Adder) and CSA (Carry Save Adder) occupies more chip area than other adders. To overwhelm the problem this study proposes a modified Square Root Carry Select Adder (SQRT CSLA) in Dadda multiplier used in compression system. The modified SQRT CSLA performs faster than other adders and power consumption is low. Compression techniques pay more attention in image processing. In this study 4-2 compressor is employed to reduce the complexity.

Highlights

In recent communication technology Very Large Scale Integration (VLSI) circuits in low power becomes very important to design a high performance and convenient devices. The parameters such as speed, cost and area become most important parameters in VLSI. These parameters play a vital role in performance
More focus is given for consumption of low power to achieve high speed in low cost to occupy small area
The first step consists of a converting the pixel values in the image to the hexadecimal values, which is executed in MATLAB

Summary

Introduction

In recent communication technology Very Large Scale Integration (VLSI) circuits in low power becomes very important to design a high performance and convenient devices. The parameters such as speed, cost and area become most important parameters in VLSI. Day by day the importance of low power VLSI is increasing because of its performance In image processing it finds a strong application the VLSI tool is not a general purpose tool for systems. Preserving the image quality by increasing the reliability is preferred It find its application in nanoscale technology because of its higher speed it has become more important

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Results

Conclusion