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  • ACRS 1997


    Digital Image Processing
    Sattelite Image Data Compression using Vector Quantization on Wavelet Information

    (3) Image Compression using Vector Quantization on Wavelet Informations
    Firstly, the wavelet decomposition is applied to the original image and results wavelet sub band images. These sub band images are coding by vector Quantization using each sub band's codebooks. These codebooks are called mutiresolution codebooks. Fig. 2 (a) shows the image compression and Fig. 2(b) shows the image decomposition. The principle method of this technique is bit assignment for each sub band besed on the energy in that sub band. The higher energy sub band is encoded by using higher bit rate.


    (a) Image Compression


    (b) Image decompression
    Figure 2 Image compression and decompression using VQ on wavelet informations

    The application of vector Quantization on wavelet information is an image compression technique introduced by [7]. For the traditional method of bit assignment is shows in Fig. 3. By using this technique, the sub band HH is discarded. This causes the image loses some details. Thus, a new scheme of bit assignment in Fig.4 is proposed to maintain the edges of image.

    LLLL LLHL HL
    LLLH LLHH
    LH HH

    (a) Subband images

    8 bpp VQ
    2 bpp
    Codebook
    size=2*2
    N=256
    VQ
    0.5 bpp
    Codebook
    size=4*4
    N=256
    VQ
    2 bpp
    Codebook
    size=2*2
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    0 bpp

    (b) Bit assignment

    Fig. 3 Traditional method at bit rate = 1.03125 bpp



    LLLL LLHL HLLL HLHL
    LLLH LLHH HLLH HLHH
    LHLL LHHL HHLL HHHH
    LHLH LHHH HHLH HHHH

    (a) Subband images

    8 bpp VQ
    2 bpp
    Codebook
    size=2*2
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    VQ
    2bpp
    Codebook
    size=2*2
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    0 bpp VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    0 bpp 0 bpp VQ
    0.25bpp
    Codebook
    size=4*4
    N=16
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256
    VQ
    0.25bpp
    Codebook
    size=4*4
    N=16
    VQ
    0.5bpp
    Codebook
    size=4*4
    N=256

    (b) Bit assignment

    Fig. 4 Proposed method at bit rate = 1.03125 bpp

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