• DocumentCode
    27390
  • Title

    Extended Block-Lifting-Based Lapped Transforms

  • Author

    Suzuki, Taizo ; Kudo, Hiroyuki

  • Author_Institution
    Fac. of Eng., Inf. & Syst., Univ. of Tsukuba, Tsukuba, Japan
  • Volume
    22
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    1657
  • Lastpage
    1660
  • Abstract
    We extend an original lapped transform (LT) and use block-lifting factorization to get an extended block-lifting-based LT (XBL-LT). The block-lifting structure maps integer input signals to integer output signals and results in a reversible transform that reduces rounding errors by merging many rounding operations. Although other such block-lifting-based LTs (BL-LTs) have been proposed, they are forcibly constrained by the use of discrete cosine transform (DCT) matrices. In contrast, XBL-LT is DCT-unconstrained and hence also embodies the DCT-constrained form. Furthermore, it has fewer rounding operations by merging the scaling factor with block-lifting coefficients. The both DCT-constrained and unconstrained XBL-LTs perform well at lossy-to-lossless image coding which has scalability from lossless data to lossy data.
  • Keywords
    discrete cosine transforms; image coding; matrix decomposition; DCT; DCT-constrained form; DCT-unconstrained form; XBL-LT; block-lifting factorization; discrete cosine transform; extended block-lifting-based lapped transform; integer input signal; integer output signal; lossy-to-lossless image coding; matrix algebra; rounding error reduction; Discrete cosine transforms; Encoding; Image coding; Merging; Scalability; Transform coding; Block-lifting structure; lapped transform (LT); lossy-to-lossless image coding;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2422837
  • Filename
    7086010