Variable quality image compression system based on spiht
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Variable quality image compression system based on SPIHT. Authors: A. Jarvi, J. Lehtien, O. Nevalainen Source: Signal Processing: Image Communication 14(1999) 683-696 Date: 11 September 1999 Speaker: Ming-Ni Wu. SPIHT.

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Variable quality image compression system based on spiht
Variable quality image compression system based on SPIHT

Authors: A. Jarvi, J. Lehtien, O. Nevalainen

Source: Signal Processing: Image Communication 14(1999) 683-696

Date: 11 September 1999

Speaker: Ming-Ni Wu


Spiht
SPIHT

  • Set Partitioning In Hierarchical Trees by Said and Pearlman 1996

  • a wavelet-based image compressing method

  • to provide better performance then original EZW(Embedded Zerotree Wavelet)

  • a bitplane coding method


Spiht1
SPIHT

n: the number of significant bits in the coefficient table having the largest absolute value

H: set of coordinates of all spatial orientation tree roots

LSP: List of Significant pixels

LIP: List of insignificant pixels

LIS: List of insignificant sets

type A: set of coordinates of all descendants of the node

type B: set of coordinates of all descendants of the node, excluding offspring of the node


Vqspiht
vqSPIHT

  • to provide better quality for some regions or details

  • implementation with matrix


Vqspiht1
vqSPIHT

: a percentage of the wanted final output file size

n: the number of significant bits in the coefficient table having the largest absolute value

ROI: Region of Interest

LUT: lookup table, to define whether a coefficient(i,j) contribute to any ROI or not


Vqspiht2
vqSPIHT

PSM: point significance matrix

11:significant

00: insignificant

01:unknown

SPLM:sub-pyramid list matrix

type A: set of coordinates of all descendants of the node

type B: set of coordinates of all descendants of the node, excluding offspring of the node


Test results
Test Results

  • The comic test image of size 420*480 with 8bpp


Test results1
Test Results

  • The mammogram test image of size 2185*2925 with 12bpp


Test results2
Test Results

  • Practical memory requirements of the implementation for 12MB mammogram

    • SPIHT : 120MB

    • vqSPIHT: 50MB


Conclusions
Conclusions

  • to encode different parts of an image with different bit-rates depending on their importance

  • to simplify the implementation of SPIHT

  • to reduce working storage requirements

  • Combine the sending of significant coefficients to sorting phase to avoid the problem of transmission interrupting


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