Image analysis – Image compression or coding – Pyramid – hierarchy – or tree structure
Reexamination Certificate
2006-02-21
2006-02-21
Couso, Yon J. (Department: 2625)
Image analysis
Image compression or coding
Pyramid, hierarchy, or tree structure
C348S408100
Reexamination Certificate
active
07003168
ABSTRACT:
A wavelet-based image compression system and method are presented. Compression is accomplished by performing a wavelet transformation of an input digital image. The resulting wavelet coefficients are compared to a threshold value. Coefficients falling below the threshold are discarded. The remaining coefficients are quantized. The quantized coefficients are then compressed using an entropy encoding technique, such as arithmetic, run length, or Huffman encoding, or a combination of Huffman and run length encoding. The wavelet transform can be an integer wavelet transform derived using a lifting scheme or correction method, while the quantization scheme can be sub-band oriented. Input color image pixels can be reduced using a color table. In addition, color pixels can be transformed between color spaces prior to wavelet transformation.
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Chao Hongyang
Fisher Howard P.
Fisher Paul S.
Hua Zeyi
Couso Yon J.
Ostrolenk Faber Gerb & Soffen, LLP
Vianet Technologies, Inc.
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