Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727680
Title: Novel image processing algorithms and methods for improving their robustness and operational performance
Author: Romanenko, Ilya
ISNI:       0000 0004 6493 8938
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2014
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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.
Supervisor: Not available Sponsor: Apical Ltd
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.727680  DOI: Not available
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
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