Image coding with uniform and piecewise-uniform vector quantizers

• Published in: IEEE transactions on image processing Vol. 4; no. 2; pp. 140 - 146
• Main Authors: Dae Gwon Jeong, Gibson, J.D.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.1995; Institute of Electrical and Electronics Engineers
• Subjects: Aerospace electronics; Applied sciences; Computational modeling; Discrete cosine transforms; Exact sciences and technology; Image coding; Image processing; Information, signal and communications theory; Laplace equations; Lattices; Multidimensional systems; Piecewise linear techniques; Signal processing; Telecommunications and information theory; Vector quantization; Digital image; Vector quantization; Image processing; Coding; Cosine transform; Discrete transformation
• ISSN: 1057-7149; 1941-0042
• DOI: 10.1109/83.342188

New lattice vector quantizer design procedures for nonuniform sources that yield excellent performance while retaining the structure required for fast quantization are described. Analytical methods for truncating and scaling lattices to be used in vector quantization are given, and an analytical technique for piecewise-linear multidimensional companding is presented. The uniform and piecewise-uniform lattice vector quantizers are then used to quantize the discrete cosine transform coefficients of images, and their objective and subjective performance and complexity are contrasted with other lattice vector quantizers and with LBG training-mode designs.< >