Bulletin of Electrical Engineering and Informatics
Vol 11, No 1: February 2022

Image compression using singular value decomposition by extracting red, green, and blue channel colors

Shamsul Fakhar Abd Gani (Universiti Teknikal Malaysia Melaka)
Rostam Affendi Hamzah (Universiti Teknikal Malaysia Melaka)
Ramlan Latip (Universiti Teknikal Malaysia Melaka)
Saifullah Salam (Universiti Teknikal Malaysia Melaka)
Fatin Noraqillah (Universiti Teknikal Malaysia Melaka)
Adi Irwan Herman (Texas Instrument (Malaysia))



Article Info

Publish Date
01 Feb 2022

Abstract

This paper presents an image compression using singular value decomposition (SVD) by extracting the red, green, and blue (RGB) channel colors. Image compression is needed in the development of various multimedia computer services and applications for example in the telecommunications and storage technologies. Now a days, video technology, digital broadcast codec and teleconferencing become popular and always requires high image compression process for display. Hence, efficient image compression is compulsory to reduce the number of storage sizes and maintain the image quality. Therefore, this article proposes image compression using SVD, which this method is efficiently reducing the image storage size and at the same time maintaining the image quality. The SVD removes redundant pixel values based on RGB colors to make the storage image size decreased. Based on the experimental analysis on two different type of image extensions (i.e., jpg and png), the SVD is capable to reduce the image size and at the same time preserving the image quality.

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Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...