TY - JOUR
T1 - Visibility of quantization errors in reversible JPEG2000
AU - Liu, Feng
AU - Ahanonu, Eze
AU - Marcellin, Michael W.
AU - Lin, Yuzhang
AU - Ashok, Amit
AU - Bilgin, Ali
N1 - Funding Information:
This work was supported in part by the National Institutes of Health (NIH) - National Cancer Institute (NCI) under grant 1U01CA198945 . Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NCI or the NIH.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/5
Y1 - 2020/5
N2 - Image compression systems that exploit the properties of the human visual system have been studied extensively over the past few decades. For the JPEG2000 image compression standard, all previous methods that aim to optimize perceptual quality have considered the irreversible pipeline of the standard. In this work, we propose an approach for the reversible pipeline of the JPEG2000 standard. We introduce a new methodology to measure visibility of quantization errors when reversible color and wavelet transforms are employed. Incorporation of the visibility thresholds using this methodology into a JPEG2000 encoder enables creation of scalable codestreams that can provide both near-threshold and numerically lossless representations, which is desirable in applications where restoration of original image samples is required. Most importantly, this is the first work that quantifies the bitrate penalty incurred by the reversible transforms in near-threshold image compression compared to the irreversible transforms.
AB - Image compression systems that exploit the properties of the human visual system have been studied extensively over the past few decades. For the JPEG2000 image compression standard, all previous methods that aim to optimize perceptual quality have considered the irreversible pipeline of the standard. In this work, we propose an approach for the reversible pipeline of the JPEG2000 standard. We introduce a new methodology to measure visibility of quantization errors when reversible color and wavelet transforms are employed. Incorporation of the visibility thresholds using this methodology into a JPEG2000 encoder enables creation of scalable codestreams that can provide both near-threshold and numerically lossless representations, which is desirable in applications where restoration of original image samples is required. Most importantly, this is the first work that quantifies the bitrate penalty incurred by the reversible transforms in near-threshold image compression compared to the irreversible transforms.
KW - Human visual system
KW - Image compression
KW - Reversible JPEG2000 compression
KW - Visibility threshold
KW - Wavelet transform
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U2 - 10.1016/j.image.2020.115812
DO - 10.1016/j.image.2020.115812
M3 - Article
AN - SCOPUS:85080064613
VL - 84
JO - Signal Processing: Image Communication
JF - Signal Processing: Image Communication
SN - 0923-5965
M1 - 115812
ER -