TY - JOUR
T1 - Comparison of different methods of classification in subband coding of images
AU - Joshi, Rajan L.
AU - Jafarkhani, Hamid
AU - Kasner, James H.
AU - Fischer, Thomas R.
AU - Farvardin, Nariman
AU - Marcellin, Michael W.
AU - Bamberger, Roberto H.
PY - 1997
Y1 - 1997
N2 - This paper investigates various classification techniques, applied to subband coding of images, as a way of exploiting the nonstationary nature of image subbands. The advantages of subband classification are characterized in a rate-distortion framework in terms of "classification gain" and overall "subband classification gain." Two algorithms, maximum classification gain and equal mean-normalized standard deviation classification, which allow unequal number of blocks in each class, are presented. The dependence between the classification maps from different subbands is exploited either directly while encoding the classification maps or indirectly by constraining the classification maps. The trade-off between the classification gain and the amount of side information is explored. Coding results for a subband image coder based on classification are presented. The simulation results demonstrate the value of classification in subband coding.
AB - This paper investigates various classification techniques, applied to subband coding of images, as a way of exploiting the nonstationary nature of image subbands. The advantages of subband classification are characterized in a rate-distortion framework in terms of "classification gain" and overall "subband classification gain." Two algorithms, maximum classification gain and equal mean-normalized standard deviation classification, which allow unequal number of blocks in each class, are presented. The dependence between the classification maps from different subbands is exploited either directly while encoding the classification maps or indirectly by constraining the classification maps. The trade-off between the classification gain and the amount of side information is explored. Coding results for a subband image coder based on classification are presented. The simulation results demonstrate the value of classification in subband coding.
KW - Arithmetic code
KW - Classification
KW - Image coding
KW - Subband
KW - Trellis-coded quantization
KW - Wavelet
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U2 - 10.1109/83.641409
DO - 10.1109/83.641409
M3 - Review article
AN - SCOPUS:0031275763
SN - 1057-7149
VL - 6
SP - 1473
EP - 1486
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 11
ER -