Reversible symmetric nonexpansive convolution: An effective image boundary processing for M-channel lifting-based linear-phase filter banks

Taizo Suzuki, Masaaki Ikehara

研究成果: Article査読

5 被引用数 (Scopus)

抄録

We present an effective image boundary processing for M-channel (M ∈ ℕ, M ≥ 2) lifting-based linear-phase filter banks that are applied to unified lossy and lossless image compression (coding), i.e., lossy-to-lossless image coding. The reversible symmetric extension we propose is achieved by manipulating building blocks on the image boundary and reawakening the symmetry of each building block that has been lost due to rounding error on each lifting step. In addition, complexity is reduced by extending nonexpansive convolution, called reversible symmetric nonexpansive convolution, because the number of input signals does not even temporarily increase. Our method not only achieves reversible boundary processing, but also is comparable with irreversible symmetric extension in lossy image coding and outperformed periodic extension in lossy-to-lossless image coding.

本文言語English
論文番号6775296
ページ(範囲)2744-2749
ページ数6
ジャーナルIEEE Transactions on Image Processing
23
6
DOI
出版ステータスPublished - 2014 6

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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