Efficient architectures and power modelling of multiresolution analysis algorithms on FPGA
Abdul Naser Sazish · Brunel University Research Archive (BURA) (Brunel University London) · 2011
In the past two decades, there has been huge amount of interest in Multiresolution Analysis Algorithms (MAAs) and their applications.Processing some of their applications such as medical imaging are computationally intensive, power hungry and requires large amount of memory which cause a high demand for efficient algorithm implementation, low power architecture and acceleration.Recently, some MAAs such as Finite Ridgelet Transform (FRIT) Haar Wavelet Transform (HWT) are became very popular and they are suitable for a number of image processing applications such as detection of line singularities and contiguous edges, edge detection (useful for compression and feature detection), medical image denoising and segmentation.Efficient hardware implementation and acceleration First off all I would like to take the opportunity to thank my family for their endless support whenever the need arose.A very special thank goes to my mother and my father for their morale and financial support from miles away throughout the difficult days of my life.I could not ask a better mum and dad than them.This thesis is dedicated to my mother's memory who I have lost during the last stage of my research work and can not be replace with anything.Also I would like thank my brothers (specially Salih Sazish) and sisters for their support and being with me throughout my study.I would like to thank H. Halim for her endless moral support whenever I need it during my research.The completion of this PhD would not have been possible, without the constant support, encouragement, motivation and most importantly constructive criticism provided by my supervisor, Dr. Abbes Amira.I greatly value the opportunity of working with him.The only gift I could give to him in return is a very special thank.I would like to take the opportunity to