University of Illinois at Urbana-Champaign
Source and Channel Coding of Images for Noisy Channels
Abstract
dc:descriptionFinally, 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Electrical Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Sherwood, Phillip Gregory
- Contributors dc:contributor
-
- Kenneth Zeger
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI9971189
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/81343