Modified M-band synthesis filter bank for fractional scalability of images

被引:6
|
作者
Pau, Gregoire [1 ]
Pesquet-Popescu, Beatrice [1 ]
Piella, Gemma [1 ]
机构
[1] Telecom Paris, Dept Signal & Image Proc, F-75014 Paris, France
关键词
fractional scalability; M-band transform; rational factor resampling; subband image coding; wavelet transform;
D O I
10.1109/LSP.2006.871716
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Subband image coding with classical wavelet transforms inherently provides dyadic scalability since the low-pass approximation band can be used as a half-sized version of the original image. The multiresolution approach further provides scalability factors that are powers of two, but no other factors can be easily reached. On the other hand, a hierarchical scheme based on M-bandtransforms will lead only to scalability factors that are powers of M. In this letter, we present how an M-band synthesis filter bank can be modified in order to directly reconstruct an output image of a resolution reduced by a factor M/P, where P is an integer lower than M. As the analysis filter bank is not modified, this technique allows the design of subband decoding schemes that support fractional scalability. With this feature, the same compressed bitstream can be directly decoded by different receivers at several resolutions, depending on their computational and bandwith capabilities.
引用
收藏
页码:345 / 348
页数:4
相关论文
共 46 条
  • [1] A design of a synthesis filter bank with fractional scalability factors
    Itami, Fumio
    Watanabe, Eiji
    [J]. 2012 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS), 2012, : 288 - 291
  • [2] An adaptive synthesis filter bank for image decoding with fractional scalability
    Tizon, Nicolas
    Pesquet-Popescu, Beatrice
    [J]. 2007 IEEE NINTH WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, 2007, : 304 - 307
  • [3] Mel scaled M-band wavelet filter bank for speech recognition
    Upadhyaya P.
    Farooq O.
    Abidi M.R.
    [J]. International Journal of Speech Technology, 2018, 21 (4) : 797 - 807
  • [4] M-ARY WAVELET TRANSFORM AND FORMULATION FOR PERFECT RECONSTRUCTION IN M-BAND FILTER BANK
    YAOU, MH
    CHANG, WT
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (12) : 3508 - 3512
  • [5] The optimally reconstructed design of the causal stable synthesis filters in the M-band maximally decimated filter bank system
    Huang, DF
    [J]. PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3, 2005, : 855 - 858
  • [6] Filter bank tree and M-band wavelet packet algorithms in audio signal processing
    Kurth, F
    Clausen, M
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (02) : 549 - 554
  • [7] An IFIR Approach for Designing M-Band NPR Cosine Modulated Filter Bank With CSD
    Chakrabarti, Roshni
    Dhabal, Supriya
    Misra, Debajyoti
    Venkateswaran, P.
    [J]. PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, DEVICES AND INTELLIGENT SYSTEMS (CODLS), 2012, : 77 - 80
  • [8] Low bit-rate audio coder using an M-band multiresolution filter bank
    Boland, S
    Deriche, M
    [J]. ELECTRONICS LETTERS, 1997, 33 (04) : 262 - 263
  • [9] Classified vector quantizer technique for image coding employing the linear phase paraunitary M-band filter bank
    Lee, CW
    Lee, SU
    [J]. OPTICAL ENGINEERING, 1996, 35 (08) : 2266 - 2275
  • [10] NEW REGULAR M-BAND ORTHOGONAL WAVELET FILTER BANK DESIGN USING ZERO-INSERTION METHOD
    KWON, SK
    KIM, JK
    [J]. ELECTRONICS LETTERS, 1994, 30 (10) : 753 - 754