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Spatial coherence methods in undersea image formation and detection
Title
Spatial coherence methods in undersea image formation and detection.
Creator
Caimi, F. M., Bailey, B. C., Blatt, J. H., Harbor Branch Oceanographic Institute
Date Issued
1996
PURL
http://purl.flvc.org/FCLA/DT/3183697
Subject Headings
Underwater imaging systems, Image Quality
Format
Document (PDF)
Environmental performance bounds for undersea pulsed laser serial imagers
Title
Environmental performance bounds for undersea pulsed laser serial imagers.
Creator
Dalgleish, Fraser R., Vuorenkoski, Anni K., Nootz, G., Ouyang, Bing, Caimi, F. M.
Date Issued
2013
PURL
http://purl.flvc.org/fau/fd/FA00007401
Subject Headings
Underwater imaging systems, Electrooptics, Lasers, Imaging systems--Image quality
Format
Document (PDF)
Improved LLS imaging performance in scattering-dominant waters
Title
Improved LLS imaging performance in scattering-dominant waters.
Creator
Dalgleish, Fraser R., Caimi, F. M., Britton, W. B., Andren, C. F.
Date Issued
2009
PURL
http://purl.flvc.org/FCLA/DT/3183174
Subject Headings
Underwater imaging systems, Lidar, Image Quality
Format
Document (PDF)
Surface mapping and imaging using low power lasers
Title
Surface mapping and imaging using low power lasers.
Creator
Caimi, F. M., Bessios, Anthony G., Harbor Branch Oceanographic Institute
Date Issued
1994
PURL
http://purl.flvc.org/FCLA/DT/3183689
Subject Headings
Underwater imaging systems, High resolution imaging, Image Quality
Format
Document (PDF)
Experimental imaging performance evaluation for alternate configurations of undersea pulsed laser serial imagers
Title
Experimental imaging performance evaluation for alternate configurations of undersea pulsed laser serial imagers.
Creator
Dalgleish, Fraser R., Vuorenkoski, Anni K., Nootz, G., Ouyang, Bing, Caimi, F. M.
Date Issued
2011
PURL
http://purl.flvc.org/FCLA/DT/3340796
Subject Headings
Electrooptics, Underwater imaging systems, Image Quality, Scattering (Physics), Lasers
Format
Document (PDF)
Using color image processing techniques to improve the performance of content-based image retrieval systems
Title
Using color image processing techniques to improve the performance of content-based image retrieval systems.
Creator
Costa, Fabio Morais., Florida Atlantic University, Furht, Borko
Abstract/Description
A Content-Based Image Retrieval (CBIR) system is a mechanism intended to retrieve a particular image from a large image repository without resorting to any additional information about the image. Query-by-example (QBE) is a technique used by CBIR systems where an image is retrieved from the database based on an example given by the user. The effectiveness of a CBIR system can be measured by two main indicators: how close the retrieved results are to the desired image and how fast we got those...
Show moreA Content-Based Image Retrieval (CBIR) system is a mechanism intended to retrieve a particular image from a large image repository without resorting to any additional information about the image. Query-by-example (QBE) is a technique used by CBIR systems where an image is retrieved from the database based on an example given by the user. The effectiveness of a CBIR system can be measured by two main indicators: how close the retrieved results are to the desired image and how fast we got those results. In this thesis, we implement some classical image processing operations in order to improve the average rank of the desired image, and we also implement two object recognition techniques to improve the subjective quality of the best ranked images. Results of experiments show that the proposed system outperforms an equivalent CBIR system in QBE mode, both from the point of view of precision as well as recall.
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Date Issued
2001
PURL
http://purl.flvc.org/fcla/dt/12870
Subject Headings
Image processing--Digital techniques, Imaging systems--Image quality, Information storage and retrieval systems
Format
Document (PDF)
Perceptual methods for video coding
Title
Perceptual methods for video coding.
Creator
Adzic, Velibor, Kalva, Hari, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are...
Show moreThe main goal of video coding algorithms is to achieve high compression efficiency while maintaining quality of the compressed signal at the highest level. Human visual system is the ultimate receiver of compressed signal and final judge of its quality. This dissertation presents work towards optimal video compression algorithm that is based on the characteristics of our visual system. Modeling phenomena such as backward temporal masking and motion masking we developed algorithms that are implemented in the state-of- the-art video encoders. Result of using our algorithms is visually lossless compression with improved efficiency, as verified by standard subjective quality and psychophysical tests. Savings in bitrate compared to the High Efficiency Video Coding / H.265 reference implementation are up to 45%.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004074, http://purl.flvc.org/fau/fd/FA00004074
Subject Headings
Algorithms, Coding theory, Digital coding -- Data processing, Imaging systems -- Image quality, Perception, Video processing -- Data processing
Format
Document (PDF)