Pixel-based averaging predictor for HEVC lossless coding

Wige E, Yammine G, Amon P, Hutter A, Kaup A (2013)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2013

Pages Range: 1806-1810

Article Number: 6738372

Event location: Melbourne, VIC AU

ISBN: 9781479923410

DOI: 10.1109/ICIP.2013.6738372

Abstract

This paper presents an intra-frame prediction scheme designed for lossless coding using HEVC. The proposed coding method comprises a pixel-wise prediction based on original samples. It is realized as a separate intra prediction mode, which replaces the PLANAR mode. In order to perform the prediction, a four-sample template around the pixel that is to be predicted is compared to the respective template of a four-pixel neighborhood. For each reference template, the sum of absolute differences (SAD) is determined. A table look-up of the SAD value gives the respective weighting factor for each neighborhood pixel. The predictor for the current pixel is calculated as the weighted average of the neighborhood pixels. In comparison to the unmodified HEVC Test Model HM-9.1 configured for lossless coding by disabling/bypassing transformation, quantization, and in-loop filters, the proposed method provides average bitrate savings up to 10.88% for intra-only coding at similar computational complexity. © 2013 IEEE.

Authors with CRIS profile

Eugen Wige Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Gilbert Yammine Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Wige, E., Yammine, G., Amon, P., Hutter, A., & Kaup, A. (2013). Pixel-based averaging predictor for HEVC lossless coding. In Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013 (pp. 1806-1810). Melbourne, VIC, AU.

MLA:

Wige, Eugen, et al. "Pixel-based averaging predictor for HEVC lossless coding." Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne, VIC 2013. 1806-1810.

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