Interleaved quantization for near-lossless image coding

Ramírez Paulino, Ignacio

Resumen:

Signal level quantization, a fundamental component in digital sampling of continuous signals such as DPCM, or in near-lossless predictive-coding based compression schemes of digital data such as JPEG-LS, often produces visible banding artifacts in regions where the input signals are very smooth. Traditional techniques for dealing with this issue include dithering, where the encoder contaminates the input signal with a noise function (which may be known to the decoder as well) prior to quantization. We propose an alternate way for avoiding banding artifacts, where quantization is applied in an interleaved fashion, leaving a portion of the samples untouched, following a known pseudo-random Beroulli sequence. Our method, which is sufficiently general to be applied to other types of media, is demonstrated on a modified version of JPEG-LS, resulting in a significant reduction in visible artifacts in all cases, while producing a graceful degradation in compression ratio. Keywords : Predictive coding Dithering Quantization Near-lossless compression Image compression Work partially supported by the ANII DT program.


Detalles Bibliográficos
2015
Predictive coding
Dithering
Quantization
Near-lossless compression
Image compression
Procesamiento de Señales
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/42680
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
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author Ramírez Paulino, Ignacio
author_facet Ramírez Paulino, Ignacio
author_role author
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dc.creator.none.fl_str_mv Ramírez Paulino, Ignacio
dc.date.accessioned.none.fl_str_mv 2024-02-26T19:52:36Z
dc.date.available.none.fl_str_mv 2024-02-26T19:52:36Z
dc.date.issued.es.fl_str_mv 2015
dc.date.submitted.es.fl_str_mv 20240223
dc.description.abstract.none.fl_txt_mv Signal level quantization, a fundamental component in digital sampling of continuous signals such as DPCM, or in near-lossless predictive-coding based compression schemes of digital data such as JPEG-LS, often produces visible banding artifacts in regions where the input signals are very smooth. Traditional techniques for dealing with this issue include dithering, where the encoder contaminates the input signal with a noise function (which may be known to the decoder as well) prior to quantization. We propose an alternate way for avoiding banding artifacts, where quantization is applied in an interleaved fashion, leaving a portion of the samples untouched, following a known pseudo-random Beroulli sequence. Our method, which is sufficiently general to be applied to other types of media, is demonstrated on a modified version of JPEG-LS, resulting in a significant reduction in visible artifacts in all cases, while producing a graceful degradation in compression ratio. Keywords : Predictive coding Dithering Quantization Near-lossless compression Image compression Work partially supported by the ANII DT program.
dc.description.es.fl_txt_mv Trabajo presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015
dc.identifier.citation.es.fl_str_mv Ramírez, I. "Interleaved quantization for near-lossless image coding". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_48
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/42680
dc.language.iso.none.fl_str_mv en
eng
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Predictive coding
Dithering
Quantization
Near-lossless compression
Image compression
dc.subject.other.es.fl_str_mv Procesamiento de Señales
dc.title.none.fl_str_mv Interleaved quantization for near-lossless image coding
dc.type.es.fl_str_mv Ponencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Trabajo presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015
eu_rights_str_mv openAccess
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identifier_str_mv Ramírez, I. "Interleaved quantization for near-lossless image coding". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_48
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
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publishDate 2015
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
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rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling 2024-02-26T19:52:36Z2024-02-26T19:52:36Z201520240223Ramírez, I. "Interleaved quantization for near-lossless image coding". Pardo, A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015. Lecture Notes in Computer Science, v. 9423. Springer, Cham. https://doi.org/10.1007/978-3-319-25751-8_48https://hdl.handle.net/20.500.12008/42680Trabajo presentado en Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2015Signal level quantization, a fundamental component in digital sampling of continuous signals such as DPCM, or in near-lossless predictive-coding based compression schemes of digital data such as JPEG-LS, often produces visible banding artifacts in regions where the input signals are very smooth. Traditional techniques for dealing with this issue include dithering, where the encoder contaminates the input signal with a noise function (which may be known to the decoder as well) prior to quantization. We propose an alternate way for avoiding banding artifacts, where quantization is applied in an interleaved fashion, leaving a portion of the samples untouched, following a known pseudo-random Beroulli sequence. Our method, which is sufficiently general to be applied to other types of media, is demonstrated on a modified version of JPEG-LS, resulting in a significant reduction in visible artifacts in all cases, while producing a graceful degradation in compression ratio. Keywords : Predictive coding Dithering Quantization Near-lossless compression Image compression Work partially supported by the ANII DT program.Made available in DSpace on 2024-02-26T19:52:36Z (GMT). No. of bitstreams: 5 Ram15.pdf: 2131033 bytes, checksum: f88559c6e5e8e1ad039b29387cfc3120 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2015enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Predictive codingDitheringQuantizationNear-lossless compressionImage compressionProcesamiento de SeñalesInterleaved quantization for near-lossless image codingPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaRamírez Paulino, 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- Universidad de la Repúblicafalse
spellingShingle Interleaved quantization for near-lossless image coding
Ramírez Paulino, Ignacio
Predictive coding
Dithering
Quantization
Near-lossless compression
Image compression
Procesamiento de Señales
status_str publishedVersion
title Interleaved quantization for near-lossless image coding
title_full Interleaved quantization for near-lossless image coding
title_fullStr Interleaved quantization for near-lossless image coding
title_full_unstemmed Interleaved quantization for near-lossless image coding
title_short Interleaved quantization for near-lossless image coding
title_sort Interleaved quantization for near-lossless image coding
topic Predictive coding
Dithering
Quantization
Near-lossless compression
Image compression
Procesamiento de Señales
url https://hdl.handle.net/20.500.12008/42680