Title :
An adaptive image coder based on residue number system
Author_Institution :
Hyundai Electron. America, San Jose, CA, USA
Abstract :
An efficient coder for adaptive lossy compression of still images is presented. It is based on a computational efficient extraction of the details of image blocks. The Discrete Cosine Transform and an efficient Lattice Vector Quantizer based on the Residue Number System are applied. The coder has a very regular and modular structure, has very low computational complexity, and provides a very efficient signal-to-noise ratio at low bit-rates. No blocking effects are introduced
Keywords :
adaptive codes; adaptive signal processing; block codes; discrete cosine transforms; image coding; image reconstruction; residue number systems; signal flow graphs; transform coding; vector quantisation; adaptive image coder; adaptive lossy compression; discrete cosine transform; image blocks; image reconstruction; lattice vector quantizer; low bit-rates; low computational complexity; regular modular structure; residue number system; signal flow graph; signal-to-noise ratio; still images; transform coding; Adaptive systems; Computational efficiency; Data compression; Discrete cosine transforms; Image coding; Image reconstruction; Lattices; Pixel; Signal to noise ratio; Transform coding;
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.584458
