ProfessorsProfessors of Universiti Malaysia PerlisNorazeani Abdul Rahman

Norazeani Abdul Rahman

Universiti Malaysia Perlis

H-index: 6

Asia-Malaysia

About Norazeani Abdul Rahman

Norazeani Abdul Rahman, With an exceptional h-index of 6 and a recent h-index of 3 (since 2020), a distinguished researcher at Universiti Malaysia Perlis, specializes in the field of Electrical and Electronics, Image Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimization and analysis of FPGA-based systolic array for matrix multiplication

Enhancing fractal image compression speed using peer adjacent mapping with sum of absolute difference for computed radiography images

An Improved Irreversible Fractal Scheme for Medical Image Compression

Peer adjacent mapping with optimum parameters for fractal image compression on medical images

Norazeani Abdul Rahman Information

University	Universiti Malaysia Perlis
Position	___
Citations(all)	86
Citations(since 2020)	27
Cited By	67
hIndex(all)	6
hIndex(since 2020)	3
i10Index(all)	3
i10Index(since 2020)	1
Email	Access Email
University Profile Page	Universiti Malaysia Perlis
Google Scholar	View Google Scholar Profile

Norazeani Abdul Rahman Skills & Research Interests

Electrical and Electronics

Image Processing

Top articles of Norazeani Abdul Rahman

Title	Journal	Author(s)	Publication Date
Optimization and analysis of FPGA-based systolic array for matrix multiplication	AIP Conference Proceedings	Ahmad Husni Mohd Shapri Norazeani Abdul Rahman Syed Muhammad Mamduh Syed Zakaria Kiu Kwong Chieh Shakir Saat	2024/2/8
Enhancing fractal image compression speed using peer adjacent mapping with sum of absolute difference for computed radiography images	AIP Conference Proceedings	NAZ Rahman RC Ismail AHM Shapri MN Isa	2020/1/8
An Improved Irreversible Fractal Scheme for Medical Image Compression	IOP Conference Series: Materials Science and Engineering	NAZ Rahman RC Ismail AHM Shapri	2020/9/1
Peer adjacent mapping with optimum parameters for fractal image compression on medical images	AIP Conference Proceedings	NAZ Rahman RC Ismail AHM Shapri MN Isa	2020/1/8