RGB Image Compression Using Two Dimensional Discrete Cosine Transform
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : Vivek Arya , Dr. Priti Singh , Karamjit Sekhon|
Vivek Arya , Dr. Priti Singh , Karamjit Sekhon. "RGB Image Compression Using Two Dimensional Discrete Cosine Transform". International Journal of Engineering Trends and Technology (IJETT). V4(4):828-832 Apr 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
To addresses the problem of reducing the memory space and amount of data required to represent a digital image. Image compression plays a crucial role in many important and adverse applications and including televideo conferencing, remote sensing, document, medical and facsimile transmission. The need for an efficient technique for compression of Images ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission & storage. Even though there are so many compression technique already available - a better techn ique which is faster, memory efficient and simple surely suits the requirements of the user. In this paper the Spatial Redundancy method of image compression using a simple transform technique called Discrete Cosine Transform is proposed. This technique is simple in implementation and utilizes less memory. A software algorithm has been developed and implemented to compress the given RGB image using Discrete Cosine Transform techniques in a MATLAB platform. In this paper rgb image is compressed upto 70%, 60% , 40% and 20% and optimum results are obtained. The analysis of results obtain has been carried out with the help of MSE (mean square error) and PSNR (peak signal to noise ratio).
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Image compression, DCT, IDCT, DCT2, IDCT2, MSE, PSNR, Redundancy.