Article Per Year (5 Year)
p-Index From 2021 - 2026
1.157
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Rostam Affendi Hamzah
Universiti Teknikal Malaysia Melaka
Computer Science & IT Electrical & Electronics Engineering

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Bulletin of Electrical Engineering and Informatics

 1 
A study of edge preserving filters in image matching Rostam Affendi Hamzah; A. F. Kadmin; S. F. A. Gani; K. A. Aziz; T. M. F. T. Wook; N. Mohamood; M. G. Y. Wei
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.1947

Abstract

This article presents a study on edge preserving filters in image matching which comprises a development of stereo matching algorithm using two edge preserving filters. Fundamentally, the framework is reconstructed by several sequential processes. The output of these processes is a disparity map or depth map. The corresponding points between two images require accurate matching to make accurate depth map estimation. Thus, the propose work in this article utilizes sum of squared differences (SSD) with dual edge preserving filters. These filters are used due to edge preserved properties and to increase the accuracy. The median filter (MF) and bilateral filter (BF) will be utilized. The SSD produces preliminary results with low noise and the edge preserving filters reduce noise on the low texture regions with edge preserving properties. Based on the experimental analysis using the standard benchmarking evaluation system from the Middlebury, the disparity map produced is 6.65% for all error pixels. It shows an accurate edge preserved properties on the disparity maps. To make the proposed work more reliable with current available methods, the quantitative measurement has been made to compare with other existing methods and it displays the proposed work in this article perform much better.
Image compression using singular value decomposition by extracting red, green, and blue channel colors Shamsul Fakhar Abd Gani; Rostam Affendi Hamzah; Ramlan Latip; Saifullah Salam; Fatin Noraqillah; Adi Irwan Herman
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.2602

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.
Co-Authors A. F. Kadmin Adi Irwan Herman Adi Irwan Herman Ahmad Fauzan bin Kadmin Ahmad Fauzan Kadmin Fatin Noraqillah K. A. Aziz Khairul Azha A. Aziz M. G. Y. Wei Madiha Zahari Melvin Gan Yeou Wei Mohd Saad Hamid Muhd Nazmi Zainal Azali Muttaqin Md Roslan N. Mohamood Nik Syahrim Nik Anwar Nurulfajar Abd Manap Ramlan Latip S. F. A. Gani Saifullah Salam Shamsul Fakhar Abd Gani Shamsul Fakhar Abd Gani Shamsul Fakhar bin Abd Gani T. M. F. T. Wook Zarina Mohd Noh