TY - JOUR
T1 - Compression of color facial images using feature correction two-stage vector quantization
AU - Huang, Jincheng
AU - Wang, Yao
N1 - Funding Information:
Manuscript received September 16, 1996; revised March 19, 1998. This work was supported in part by Symbol Technologies, Inc., Holtsville, NY. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Michael W. Marcellin. The authors are with the Department of Electrical Engineering, Polytechnic University, Brooklyn, NY 11201 USA (e-mail: [email protected]). Publisher Item Identifier S 1057-7149(99)00223-7.
PY - 1999
Y1 - 1999
N2 - A feature correction two-stage vector quantization (FC2VQ) algorithm was previously developed to compress gray-scale photo identification (ID) pictures. This algorithm is extended to color images in this work. Three options are compared, which apply the FC2VQ algorithm in RGB, YCbCr, and Karhunen-Loeve transform (KLT) color spaces, respectively. The RGB-FC2VQ algorithm is found to yield better image quality than KLT-FC2VQ or YCbCr-FC2VQ at similar bit rates. With the RGB-FC2VQ algorithm, a 128 × 128 24-b color ID image (49 152 bytes) can be compressed down to about 500 bytes with satisfactory quality. When the codeword indices are further compressed losslessy using a first order Huffman coder, this size is further reduced to about 450 bytes.
AB - A feature correction two-stage vector quantization (FC2VQ) algorithm was previously developed to compress gray-scale photo identification (ID) pictures. This algorithm is extended to color images in this work. Three options are compared, which apply the FC2VQ algorithm in RGB, YCbCr, and Karhunen-Loeve transform (KLT) color spaces, respectively. The RGB-FC2VQ algorithm is found to yield better image quality than KLT-FC2VQ or YCbCr-FC2VQ at similar bit rates. With the RGB-FC2VQ algorithm, a 128 × 128 24-b color ID image (49 152 bytes) can be compressed down to about 500 bytes with satisfactory quality. When the codeword indices are further compressed losslessy using a first order Huffman coder, this size is further reduced to about 450 bytes.
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U2 - 10.1109/83.736696
DO - 10.1109/83.736696
M3 - Article
C2 - 18262869
AN - SCOPUS:0032761668
SN - 1057-7149
VL - 8
SP - 102
EP - 109
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
IS - 1
ER -