TY - JOUR
T1 - Transform Coding of Monochrome and Color Images Using Trellis Coded Quantization
AU - Marcellin, Michael W.
AU - Sriram, Parthasarathy
AU - Tong, Kai Loong
AU - Tong, Kai Loong
N1 - Funding Information:
Manuscript received July 26, 1991; revised August 21, 1992 and March 12, 1993. This work was supported by the National Science Foundation under Grants NCR-8821764 and NCR-9258374. Paper was recommended by Associate Editor John W. Woods. M. W. Marcellin and P. Sriram are with the Department of Electrical and Computer Engineering, University of Arizona, Tuscon, AZ 85721. K.-L. Tong was with the Department of Electrical and Computer Engineering at the University of Arizona, Tuscon, A2 85721. He is now with Motorola, Singapore. IEEE Log Number 9209200.
PY - 1993/8
Y1 - 1993/8
N2 - The application of transform coding using trellis coded quantization (TCQ) to encode monochrome and color images is investigated. Specifically, TCQ is used to encode transform coefficients resulting from applying a 16 X 16 discrete cosine transform (DCT) to 8-b gray level and 24-b color images. For the color images, the red, green, and blue (RGB) planes are transformed into the NTSC transmission primaries (Y, I, and Q) before the DCT is applied. Rate allocation schemes for encoding the transform coefficients and side information are presented and discussed. The generalized Lloyd algorithm and the entropy-constrained vector quantizer design algorithm are used to design fixed-rate and entropy-constrained codebooks. The entropy-constrained designs result in a low-complexity system with objective performance rivaling that of many coding schemes from the literature.
AB - The application of transform coding using trellis coded quantization (TCQ) to encode monochrome and color images is investigated. Specifically, TCQ is used to encode transform coefficients resulting from applying a 16 X 16 discrete cosine transform (DCT) to 8-b gray level and 24-b color images. For the color images, the red, green, and blue (RGB) planes are transformed into the NTSC transmission primaries (Y, I, and Q) before the DCT is applied. Rate allocation schemes for encoding the transform coefficients and side information are presented and discussed. The generalized Lloyd algorithm and the entropy-constrained vector quantizer design algorithm are used to design fixed-rate and entropy-constrained codebooks. The entropy-constrained designs result in a low-complexity system with objective performance rivaling that of many coding schemes from the literature.
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U2 - 10.1109/76.257216
DO - 10.1109/76.257216
M3 - Article
AN - SCOPUS:0027646922
SN - 1051-8215
VL - 3
SP - 270
EP - 276
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
IS - 4
ER -