EFFICIENT LOSSLESS IMAGE COMPRESSION USING DPCM WITH NORMALIZED LMS ALGORITHM

Authors

  • Sowmiya D Student, Electronics and Communication Dept, Velalar College of Engineering and Technology, Erode
  • Gopalan R Assistant Professor, Electronics and Communication Dept, Velalar College of Engineering and Technology, Erode

Keywords:

Adaptive filter,DPCM, NLMS Algorithm,Quantization

Abstract

This paper proposes a novel image compression based on DPCM with Normalized LMS
algorithm. An image files hold some redundant and improper information. So an image
compression is used to reduce the amount of data required to represent an image. A proposed
technique is very easy to implement and reduce the complexity of memory. The Differential
Pulse Code Modulation (DPCM) is used to remove the unused bit in the image for
compression. The Normalized LMS algorithm is used to adapt the coefficient of an adaptive
prediction filter for image source coding. In this paper we compare the compressed image for
1,2,3,4 bits and evaluate the performance metrics (compression ratio, PSNR, MSE) for
reconstructed image.

Downloads

Published

2018-02-25

How to Cite

Sowmiya D, & Gopalan R. (2018). EFFICIENT LOSSLESS IMAGE COMPRESSION USING DPCM WITH NORMALIZED LMS ALGORITHM. International Journal of Advance Research in Engineering, Science & Technology, 5(2), 127–135. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1161

Issue

Vol. 5 No. 2 (2018): Volume: 05, Issue: 02 - February, 2018.

Section

Articles