Interleaved quantization for near-lossless image coding
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.
2015 | |
Predictive coding Dithering Quantization Near-lossless compression Image compression Procesamiento de Señales |
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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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collection | COLIBRI |
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 |
format | conferenceObject |
id | COLIBRI_e63599e98685eb94e6142a34dfe89b12 |
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 |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/42680 |
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 |
repository_id_str | 4771 |
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 |