*Corresponding author:
Shahrukh Agha, Department of Electrical Engineering, COMSATS Institute of Information Technology, Islamabad, PakistanReceived: April 11, 2018; Published: April 20, 2018
DOI: 10.26717/BJSTR.2018.04.000981
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In this work high throughput and low power implementations of two dimensional Discrete Fourier Transform, Discrete Cosine Transform and MPEG Motion Estimation, for battery powered real time applications, using configurable multiprocessors, are proposed and compared in terms of speed, power, area and type of application. The results show the significance of multiprocessing in reducing the computational complexity of the application depending upon the type of application and the speed, area or power constraint.
Keywords: Two-Dimensional Discrete Fourier Transform; Discrete Cosine Transform; Motion Estimation, Multiprocessing; Real Time Processing
Abstract| Introduction| Some Review of Image and Video Processing| Parallelization of 2d Dft, 2d Dct And Motion Estimation Using Shared Memory Multiprocessors| Discussion| Conclusion| References