Subsampled vector quantization with nonlinear estimation using neural network approach
Document Type
Conference Proceeding
Publication Date
12-1-1991
Abstract
An intraframe block coding scheme which is devoted to using interblock redundancy and reducing the block effect is proposed. The scheme is based upon a combination of a nonlinear interpolation with transform and vector quantization techniques. Interblock redundancy is removed by extracting a pixel from each block as a common seed to interpolate the rest of the pixels of the neighboring blocks. The estimation error signals are reduced by nonlinear interpolation, which often results in no further processing requirements for some blocks. This saving compensates for the cost of transmitting the overhead of the estimation parameters.
Identifier
0026402235 (Scopus)
ISBN
[0819407429]
Publication Title
Proceedings of SPIE the International Society for Optical Engineering
ISSN
0277786X
First Page
214
Last Page
220
Issue
pt 1
Volume
1605
Recommended Citation
Sun, Huifang; Manikopoulos, Constantine N.; and Hsu, Hwei P., "Subsampled vector quantization with nonlinear estimation using neural network approach" (1991). Faculty Publications. 17484.
https://digitalcommons.njit.edu/fac_pubs/17484
