Source and Channel Coding of Images for Noisy Channels
Sherwood, Phillip Gregory
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https://hdl.handle.net/2142/81343
Description
Title
Source and Channel Coding of Images for Noisy Channels
Author(s)
Sherwood, Phillip Gregory
Issue Date
2000
Doctoral Committee Chair(s)
Kenneth Zeger
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
Finally, methods for introducing an adjustable amount of source redundancy are explored in the context of erasure channels. The erasure channel can be considered an abstraction of an arbitrary physical channel as long as reliable error detection is possible, so the methods are broadly applicable. A multistage coding structure is proposed which offers much flexibility, even in terms of the underlying compression algorithms, as well as low complexity. Extensions of multiple description scalar quantizers in combination with erasure correcting codes are proposed as another method.
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