High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

A Review on Image Compression using DCT and DWT

Author(s):

Madhu Ahuja , DIMAT CSVTU; Sanjivani Shantaiya, DIMAT CSVTU

Keywords:

Compression, DCT, DWT, MSE, SNR, PSNR

Abstract

Image Compression addresses the matter of reducing the amount of data needed to represent the digital image. There are several transformation techniques used for data compression. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) is mostly used transformation. The Discrete cosine transform (DCT) is a method for transform an image from spatial domain to frequency domain. DCT has high energy compaction property and requires less computational resources. On the other hand, DWT is multi resolution transformation. The research paper includes various approaches that have been used by different researchers for Image Compression. The analysis has been carried out in terms of performance parameters Peak signal to noise ratio, Bit error rate, Compression ratio, Mean square error. and time taken for decomposition and reconstruction.

Other Details

Paper ID: IJSRDV3I100147
Published in: Volume : 3, Issue : 10
Publication Date: 01/01/2016
Page(s): 147-150

Article Preview

Download Article