Back to results

University of Illinois at Urbana-Champaign

Source and Channel Coding of Images for Noisy Channels

Abstract

dc:description

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.

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 × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9971189
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81343

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sherwood, Phillip Gregory. Source and Channel Coding of Images for Noisy Channels. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81343