Joint Optimization of Rate, Distortion, and Maximum Absolute Error for Compression of Medical Volumes Using HEVC Intra
| Autor: | Karina Jaskolka, Andre Kaup |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020206 networking & telecommunications
Image processing 02 engineering and technology Lossy compression Reduction (complexity) Approximation error Metric (mathematics) 0202 electrical engineering electronic engineering information engineering Codec 020201 artificial intelligence & image processing Joint (audio engineering) Algorithm Block (data storage) Mathematics |
| Zdroj: | PCS |
| Popis: | Many visual quality metrics are used to measure the quality of lossy compressed images and videos, and are integrated in the rate-distortion optimization of hybrid video codecs. However, most of the metrics focus on the average objective quality in a picture. In certain applications, like medical image processing, the maximum absolute error should be more weighted. In this paper, the rate-distortion optimization of HEVC is extended by integrating this error metric. Thus, rate, average error, and maximum absolute error are jointly optimized. Furthermore, a weighting factor α is included into the calculation of the optimization for balancing the ratio between average and maximum absolute error. For HEVC intra with $\alpha =0.25$ an average maximum absolute error reduction of −25.63 can be achieved, while the bitrate increases slightly by 0.59%. Furthermore, the visual quality of the medical volumes improves and the data fidelity increases, i.e. less block artifacts appear and less structure disappear. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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