• DocumentCode
    590306
  • Title

    The hierarchical signal dependent transform: Creating orthonormal basis that match local signal characteristics

  • Author

    Testoni, Vanessa ; Costa, M.H.M. ; Fiorencio, Dinei

  • Author_Institution
    ECE, Univ. of California at San Diego, La Jolla, CA, USA
  • fYear
    2012
  • fDate
    27-30 Nov. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Hierarchical transforms are widely used in image and video coding to produce multilevel decomposition of signals. After applying these transforms, same level signals are typically uncorrelated. However, there is often still significant cross level information. Traditionally, this cross-level information is exploited at the entropy coding step, but not at the transform step. The main contribution of this work is an energy compaction technique/transform that can also exploit these cross-resolution-level structural similarities. The core idea of the technique is to include in the hierarchical transform a number of adaptive basis functions derived from the lower resolution of the signal. A full image codec was developed in order to measure the performance of the new transform. Results are presented in terms of transform coding gain, energy concentration and distortion versus rate curves compared with standard JPEG, JPEG 2000 and JPEG XR.
  • Keywords
    entropy codes; image matching; image resolution; transforms; video coding; JPEG XR; JPEG2000; adaptive basis functions; cross level information; cross-resolution-level structural similarity; energy compaction technique; energy concentration; entropy coding step; full image codec; hierarchical signal dependent transform; image coding; local signal characteristic matching; multilevel signal decomposition; rate curves; signal resolution; video coding; Codecs; Correlation; Discrete cosine transforms; Image resolution; Transform coding; Vectors; Hierarchical block-based transform; Image coding; Signal dependent transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2012 IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4405-0
  • Electronic_ISBN
    978-1-4673-4406-7
  • Type

    conf

  • DOI
    10.1109/VCIP.2012.6410820
  • Filename
    6410820