2017/05/13 by Vildan Atalay Aydın, Vildan Atalay Aydin, Aydin, Vildan Atalay +2 · 1 citation
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #cs.CV
paper · pdf · doi:10.48550/arxiv.1705.05741
arXiv admin note: substantial text overlap with arXiv:1705.04433, arXiv:1705.04641
arxiv created 2017/05/13 · openalex publication_date 2017/05/13 · arxiv updated 2017/05/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a novel motion estimation/compensation (ME/MC) method for wavelet-based (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 (complete) discrete wavelet transforms (DWT), we perform ME/MC steps directly on DWT coefficients by avoiding the need of shift-invariance. We omit upsampling, the inverse-DWT (IDWT), and the 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.