TELKOMNIKA Telecommunication, Computing, Electronics and Control
JPG, PNG and BMP image compression using discrete cosine transform

TELKOMNIKA Telecommunication, Computing, Electronics and Control
JPG, PNG and BMP image compression using discrete cosine transform

Discrete cosine transform
Image analysis
Image compression
Image processing
Image transformation

This paper proposes image compression using discrete cosine transform
(DCT) for the format of joint photographic expert groups (JPEG) or JPG,
portable network graphic (PNG) and bitmap (BMP). These three extensions
are the most popular types used in current image processing storage. The
purpose of image compression is to produce lower memory usage or to reduce
memory file. This process removes redundant information of each pixel. The
challenge for image compression process is to maintain the quality of images
after the compression process. Hence, this article utilizes the DCT technique
to sustain the image quality and at the same time reduces the image storage
size. The effectiveness of the DCT technique has been reasonable over some
real images and the implementation of the technique has been compared with
different types of image extensions. Matlab software is an important platform
for this project in order to write a program and perform the progress of project
phase by phase to achieve the expected results. Based on the tested images, the
DCT technique in image compression is capable to reduce the image storage
memory in average about 50% of each image tested.

Rostam Affendi Hamzah, Muttaqin Md Roslan, Ahmad Fauzan bin Kadmin,

Shamsul Fakhar bin Abd Gani, Khairul Azha A. Aziz

http://journal.uad.ac.id/index.php/TELKOMNIKA

Dec 7, 2020

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