Title :
Lossy Lempel-Ziv algorithm for large alphabet sources and applications to image compression
Author :
Finamore, Weiler A. ; de A.Leister, M.
Author_Institution :
Centro de Estudos em Telecomunicacoes, Pontificia Univ. Catolica do Rio de Janeiro, Brazil
Abstract :
Two practical lossy Lempel-Ziv schemes are proposed in this paper. The schemes are suitable for compression of sources with large alphabet cardinality. Computer simulation results obtained by compressing the output of a Gaussian source revealed a performance comparable to the performance of scalar quantization followed by entropy coding. Compression of DCT transformed and subband decomposed images showed a performance close to the performance of JPEG compressed images
Keywords :
Gaussian processes; discrete cosine transforms; image coding; source coding; transform coding; DCT transformed images; Gaussian source; image compression; large alphabet cardinality; large alphabet sources; lossy Lempel-Ziv algorithm; performance; subband decomposed images; Data compression; Decoding; Discrete cosine transforms; Entropy coding; Image coding; Quantization; Rate-distortion; Statistics; Telecommunications; Transform coding;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559474
