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Research Article |

Design and FPGA Implementation of Image Compression Based Fuzzy Technique

Author(s): Pradeep S

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 2, Issue 2

Publisher : FOREX Publication

Published : 30 June 2014

e-ISSN : 2347-470X

Page(s) : 1-4

DOI: https://doi.org/10.37391/IJEER.020201

Abstract

Fuzzy logic is a way to embed an engineer’s experience into the system. In recent years, many researchers have applied the fuzzy logic to develop new techniques for contrast improvement. Fuzzy logic is a well-known rather simple approach with good visual results, but proposed fuzzy operation algorithm is default nonlinear. Here proposed algorithm is a default nonlinear thus not straight forward applicable on the JPEG bit stream, it is possible when the right combination is found. Image compression is one of the major image processing techniques that are widely used in medical, automotive, consumer and military applications. In this project fuzzy technique has been used in image compression with Discrete Wavelet Transforms (DWT) technique. Discrete wavelet transforms is the most popular transformation technique adopted for image compression. Image compression has become important as storage or transmission of images requires large amount of bandwidth. In order to minimize the complexity of DWT, fuzzy technique has been proposed and implemented on FPGA.

Keywords: Discrete wavelet transforms (DWT), Fuzzy logic, Fuzzy Intensification Operator, Image Compression.




Pradeep S*, M.Tech Student, Dept. of ECE Engg., SJBIT Bangalore; Email: psn026@gmail.com.

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Pradeep S (2014), Design and FPGA Implementation of Image Compression Based Fuzzy Technique. IJEER 2(2), 1-4. DOI: 10.37391/IJEER.020201.