@inproceedings{059ba789e7744ce9a2faa7f77c35ac01,

title = "Progressive image compression algorithm based on lattice vector quantization",

abstract = "In this paper, a low computational complexity and high efficiency algorithm for progressive image compression is presented. The image is partitioned into blocks of pixels and a prime- factor 2-D discrete cosine transform (DCT) is applied. Because of the regular structure the DCT algorithm, the coefficients could be computed in groups. Each group of DCT coefficients is then vector quantized by using the pyramid vector quantizer algorithm. Since, the DCT coefficients of each group are allocated with a different number of bits, three PVQs are used with different radii.",

author = "Anna Tatsaki and Thanos Stouraitis and Goutis, {Costas E.}",

year = "1995",

language = "British English",

isbn = "0819418021",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "228--236",

editor = "Naohisa Ohta and Lemke, {Heinz U.} and J.C. Lehureau",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Advanced Image and Video Communications and Storage Technologies ; Conference date: 20-03-1995 Through 23-03-1995",

}