A Novel Rate-Control for Predictive Image Coding With Constant Quality

Predictive 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 approache...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.103918-103930
Main Authors: Bartrina-Rapesta, Joan, Marcellin, Michael W., Serra-Sagrista, Joan, Hernandez-Cabronero, Miguel
Format: Article
Language:English
Subjects:
constant-quality lossy compression
Control theory
Distortion
Encoding
Entropy
Feedback loops
Image coding
Image compression
Image quality
Image reconstruction
Prediction-based image coding
Predictive control
Quantization (signal)
rate-control
Remote sensing
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Summary:Predictive 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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2931442