Wavelet coefficients motion compensation for image sequence encoding

被引:0
|
作者
Toyokura, Naohiko [1 ]
Kawasaki, Shingo [1 ]
Kondo, Shozo [1 ]
机构
[1] Tokai Univ, Hiratsuka-shi, Japan
来源
IEEE Asia-Pacific Conference on Circuits and Systems - Proceedings | 1998年
关键词
Cosine transforms - High pass filters - Image segmentation - Low pass filters - Motion compensation - Vectors - Wavelet transforms;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we propose a method of image sequence encoding called a DWT-MC (Discrete Wavelet Transform and Motion Compensation) using the wavelet transform. In this method each image of a given image sequence is decomposed into three-levels multi-resolution analysis (MRA). From the MRA of the image 64-dimensional vectors are constructed and motions are detected using the sequences of vectors. The DWT-MC shows more efficient encoding performance than the MC-DCT (Motion Compensation and Discrete Cosine Transform) method.
引用
收藏
页码:53 / 56
相关论文
共 50 条
  • [41] Locally optimal joint encoding of image transform coefficients
    Bunyaratavej, P
    Miller, DJ
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING, 2001, : 2573 - 2576
  • [42] Image Denoising Using Three Scales of Wavelet Coefficients
    Chen, Guangyi
    Zhu, Wei-Ping
    ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS, 2008, 5264 : 376 - 383
  • [43] IMAGE DENOISING BASED ON COMBINING NEIGHBOURING WAVELET COEFFICIENTS
    Dai, Jianxin
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 517 - 519
  • [44] WaveStat - Cluster analysis of image data and wavelet coefficients
    Simon, U
    Berndtgen, M
    FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2, 1998, : 1622 - 1625
  • [45] Stereo image compression using wavelet coefficients morphology
    Ellinas, JN
    Sangriotis, MS
    IMAGE AND VISION COMPUTING, 2004, 22 (04) : 281 - 290
  • [46] Image Classification using Wavelet Coefficients for Video Surveillance
    Fai, Ong Yew
    Voon, Yap Vooi
    Nisar, Humaira
    2016 IEEE CONFERENCE ON SYSTEMS, PROCESS AND CONTROL (ICSPC), 2016, : 107 - 112
  • [47] Image denoising using derotated complex wavelet coefficients
    Miller, Mark
    Kingsbury, Nick
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2008, 17 (09) : 1500 - 1511
  • [48] Vector processing of wavelet coefficients for robust image denoising
    Zervakis, M.E.
    Sundararajan, V.
    Parhi, K.K.
    2001, Elsevier Ltd (19)
  • [49] Video synthesis with high spatio-temporal resolution using motion compensation and image fusion in wavelet domain
    Watanabe, K
    Iwai, Y
    Nagahara, H
    Yachida, M
    Suzuki, T
    COMPUTER VISION - ACCV 2006, PT I, 2006, 3851 : 480 - 489
  • [50] Vector processing of wavelet coefficients for robust image denoising
    Zervakis, ME
    Sundararajan, V
    Parhi, KK
    IMAGE AND VISION COMPUTING, 2001, 19 (07) : 435 - 450