Implementation of Image Compression Algorithm using MATLAB

Authors(1) :-Arun Kumar Singh

In current scenario, Internet becomes a handy tool to everyone and everyone wants lot things in a very compact form so-that less amount of data can be stored or captured in a very small space. As Internet is act as medium of transportation of documents (such as multimedia documents). In this paper, a compression technique is being representated to compress the on form of multimedia document such as image using MatLab. Since, image contains a lot of information in dot form and required a huge space on hard disk. The Image compression technique used discrete cosine transform to deal with the real value during the compression of an image. Using DCT in compression leads to easy calculation of image data in frequency domain.

Authors and Affiliations

Arun Kumar Singh
ECE, AUH, India

Image compression, JPEG, DCT

  1. http://www.fileformat.info/mirror/egff/ch09_06.htm
  2. http://teresi.us/resources/code/matlab/jpeg.m
  3. Hardik Patel,”Steganography Technique Based on DCT Coefficients” (IJERA) Vol. 2, Issue 1,Jan-Feb 2012, p.713-717
  4. Sharma.h , “Image Compression Using Wavelet Based Various Algorithms”, Volume 5, Issue 5, May 2015pp-1699
  5. http://www.academia.edu/9893144/IAETSD-Performance_Analysis_of_Discrete_Cosine_Transform_based_image_compression

Publication Details

Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 327-329
Manuscript Number : IJSRSET1623107
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Arun Kumar Singh, " Implementation of Image Compression Algorithm using MATLAB, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.327-329, May-June-2016.
Journal URL : http://ijsrset.com/IJSRSET1623107

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