@inproceedings{8865f7be2d194d5dae5f37d07a57b8b5,
title = "Vector quantization in SPIHT image codec",
abstract = "The image coding The terms coding and compression are used synonymously in this paper. algorithm {"}Set Partitioning in Hierarchical Trees (SPIHT){"} introduced by Said and Pearlman achieved an excellent rate-distortion performance by an efficient ordering of wavelet coefficients into subsets and bit plane quantization of significant coefficients. We observe that there is high correlation among the significant coefficients in each SPIHT pass. Hence, in this paper we propose trained scalar-vector quantization (depending on a boundary threshold) of significant coefficients to exploit correlation. In each pass, the decoder reconstructs coefficients with scalar or vector quantized values rather than with bit plane quantized values. Our coding method outperforms the scalar SPIHT coding in the high bit-rate region for standard test images.",
author = "Rafi Mohammad and Barnes, {Christopher F.}",
year = "2006",
doi = "10.1007/11949534_74",
language = "English",
isbn = "354068297X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "742--750",
booktitle = "Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings",
note = "1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 ; Conference date: 10-12-2006 Through 13-12-2006",
}