A Novel Rate-Control for Predictive Image Coding With Constant Quality
AffiliationUniv Arizona, Dept Elect & Comp Engn
MetadataShow full item record
CitationJ. Bartrina-Rapesta, M. W. Marcellin, J. Serra-Sagristá and M. Hernàndez-Cabronero, "A Novel Rate-Control for Predictive Image Coding With Constant Quality," in IEEE Access, vol. 7, pp. 103918-103930, 2019. doi:10.1109/ACCESS.2019.2931442
RightsCopyright © 2019 the authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractPredictive image coding systems yield a high-compression performance at low computational complexity, and are therefore popular in standards and prominent coding techniques for both lossless and near-lossless compression. However, few prediction-based coding techniques include rate-control approaches because of the difficulty in properly combining the prediction feedback loop and the quantization. None of the rate-control approaches for predictive image coding are focused on delivering homogeneous quality along the whole image. The main objective of this paper is to define a novel rate-control approach based on prediction that homogenises the quality over the entire image. The extensive experimental results, on medical, remote sensing, and natural images, suggest that our proposal attains more regular image quality and lower peak absolute error than the state-of-the-art approaches based on prediction and also transform-based techniques such as JPEG2000 and CCSDS-122.
NoteOpen access journal
VersionFinal published version
SponsorsSpanish Ministry of Science, Innovation, and Universities (MICIU); European Regional Development Fund (FEDER) [RTI2018-095287-B-I00]; Catalan Government [2017SGR-463]; Centre National d' Etudes Spatiales (CNES)