Motion Compensation Using Critically Sampled Dwt Subbands For Low-Bitrate Video Coding

Keywords

Discrete Wavelet Transform; Motion Compensated Temporal Filtering; Video Coding

Abstract

In this paper, we propose a novel motion estimation/motion compensation (ME/MC) method for wavelet-based (i.e. in-band) motion compensated temporal filtering (MCTF), with application to low-bitrate video coding. Unlike the conventional in-band MCTF algorithms, which require redundancy to overcome the shift-variance problem of critically sampled (i.e. complete) discrete wavelet transforms (DWT), we perform ME/MC steps directly on DWT coefficients by avoiding the need of shift-invariance. We omit upsampling, inverse-DWT (IDWT), and calculation of redundant DWT coefficients, while achieving arbitrary subpixel accuracy without interpolation, and high video quality even at very low-bitrates, by deriving the exact relationships between DWT subbands of input image sequences. Experimental results demonstrate the accuracy of the proposed method, confirming that our model for ME/MC effectively improves video coding quality.

Publication Date

2-20-2018

Publication Title

Proceedings - International Conference on Image Processing, ICIP

Volume

2017-September

Number of Pages

21-25

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2017.8296235

Socpus ID

85045319730 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85045319730

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