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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16340

Title: Novel image processing algorithms and methods for improving their robustness and operational performance
Authors: Romanenko, Ilya
Keywords: De-noising
Image processing
Sensor noise
Bayer RAW
Non-local means
FPGA
Real time
Spatial-temporal noise reduction
Optical flow
Motion compensation
HDR
Image data matching
WDR
Image features matching
Feature vector extraction
Object detection
Issue Date: 2014
Publisher: © Ilya Romanenko
Abstract: Image processing algorithms have developed rapidly in recent years. Imaging functions are becoming more common in electronic devices, demanding better image quality, and more robust image capture in challenging conditions. Increasingly more complicated algorithms are being developed in order to achieve better signal to noise characteristics, more accurate colours, and wider dynamic range, in order to approach the human visual system performance levels. [Continues.]
Description: A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy of Loughborough University.
Sponsor: Apical LTD
URI: https://dspace.lboro.ac.uk/2134/16340
Appears in Collections:PhD Theses (Computer Science)

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