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Image compression by using mathematical transform陳巧燕, Chan, Hau-yin. January 1999 (has links)
published_or_final_version / Mathematics / Master / Master of Philosophy
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Perceptual models and coding schemes for image compression方惠靑, Fong, Wai-ching. January 1997 (has links)
published_or_final_version / Electrical and Electronic Engineering / Doctoral / Doctor of Philosophy
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Stereo image sequence compressionJiang, Qin 12 1900 (has links)
No description available.
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Approaching “Big Data” in Biological Research Imaging Spectroscopy with Novel CompressionChen, Yixuan 10 April 2014 (has links)
This research focuses on providing a fast and space efficient compression method to answer information queries on spectroscopic data. Our primary hypothesis was whether a conversion from decimal data to character/integer space could be done in a manner that enables use of succinct structures and provides good compression. This compression algorithm is motivated to handle queries on spectroscopic data that approaches limits of main computer memory.
The primary hypothesis is supported in that the new compression method can save 79.20% - 94.07% computer space on the average. The average of maximum error rates is also acceptable, being 0.05% - 1.36% depending on the subject that the data was collected from. Additionally, the data’s compression rate and entropy are negatively correlated; while compression rate and maximum error were positively correlated when the max error rates were performed on a natural logarithm transformation. The effects of different types of data sources on compression rate have been studied as well. Fungus datasets achieved highest compression rates, while mouse brain datasets obtained the lowest compression rates among four types of data sources. Finally, the effect of the studied compression algorithm and method on integrating spectral bands has been investigated in this study. The spectral integration for determining lipid, CH2 and dense core plaque obtained good image quality and the errors can be considered inconsequential except the case of determining creatine deposits. Despite the fact that creatine deposits are still recognizable in the reconstructed image, the image quality was reduced.
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Fractal image coding techniques and their applicationsAli, Maaruf January 1997 (has links)
No description available.
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An in-depth look at fractal image compressionDetty, Sarah. January 2009 (has links) (PDF)
Senior Honors thesis--Regis University, Denver, Colo., 2009. / Title from PDF title page (viewed on May 12, 2009). Includes bibliographical references.
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Bi-level lossless compression techniquesBejile, Brian. January 2004 (has links)
Thesis (B.A.)--Haverford College, Dept. of Computer Science, 2004. / Includes bibliographical references.
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Optimization of entropy coding efficiency under complexity constraints in image and video compression /Ling, Fan. January 1998 (has links)
Thesis (Ph. D.)--Lehigh University, 1998. / Includes vita. Bibliography: leaves 139-143.
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Pavement information system : detection, classification and compression /Hong, Lihao. January 2009 (has links)
Thesis (M.S.)--University of Toledo, 2009. / Typescript. "Submitted as partial fulfillment of the requirements for The Master of Science Degree in Engineering." "A thesis entitled"--at head of title. Bibliography: leaves 55-56.
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Block loss recovery techniques for image and video communications /Park, Jiho. January 2002 (has links)
Thesis (Ph. D.)--University of Washington, 2002. / Vita. Includes bibliographical references (leaves 79-83).
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