Block truncation and planar image coding

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Block truncation and planar image coding. / Olsen, Søren I.

In: Pattern Recognition Letters, Vol. 21, No. 13-14, 12.2000, p. 1141-1148.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Olsen, SI 2000, 'Block truncation and planar image coding', Pattern Recognition Letters, vol. 21, no. 13-14, pp. 1141-1148. https://doi.org/10.1016/S0167-8655(00)00075-1

APA

Olsen, S. I. (2000). Block truncation and planar image coding. Pattern Recognition Letters, 21(13-14), 1141-1148. https://doi.org/10.1016/S0167-8655(00)00075-1

Vancouver

Olsen SI. Block truncation and planar image coding. Pattern Recognition Letters. 2000 Dec;21(13-14):1141-1148. https://doi.org/10.1016/S0167-8655(00)00075-1

Author

Olsen, Søren I. / Block truncation and planar image coding. In: Pattern Recognition Letters. 2000 ; Vol. 21, No. 13-14. pp. 1141-1148.

Bibtex

@article{ff6850bf6593428e92bd2963cd341455,
title = "Block truncation and planar image coding",
abstract = "A fast image coding scheme built on block truncation, constant, and planar block coding is suggested. The model selection is made to give the best reconstruction. Multi-codebook vector quantization (VQ) of model type and gray levels is used. The selection of model codebook and gray level quantization is based on the desired compression ratio.",
author = "Olsen, {S{\o}ren I.}",
year = "2000",
month = dec,
doi = "10.1016/S0167-8655(00)00075-1",
language = "English",
volume = "21",
pages = "1141--1148",
journal = "Pattern Recognition Letters",
issn = "0167-8655",
publisher = "Elsevier BV * North-Holland",
number = "13-14",

}

RIS

TY - JOUR

T1 - Block truncation and planar image coding

AU - Olsen, Søren I.

PY - 2000/12

Y1 - 2000/12

N2 - A fast image coding scheme built on block truncation, constant, and planar block coding is suggested. The model selection is made to give the best reconstruction. Multi-codebook vector quantization (VQ) of model type and gray levels is used. The selection of model codebook and gray level quantization is based on the desired compression ratio.

AB - A fast image coding scheme built on block truncation, constant, and planar block coding is suggested. The model selection is made to give the best reconstruction. Multi-codebook vector quantization (VQ) of model type and gray levels is used. The selection of model codebook and gray level quantization is based on the desired compression ratio.

UR - http://www.scopus.com/inward/record.url?scp=0034541150&partnerID=8YFLogxK

U2 - 10.1016/S0167-8655(00)00075-1

DO - 10.1016/S0167-8655(00)00075-1

M3 - Journal article

AN - SCOPUS:0034541150

VL - 21

SP - 1141

EP - 1148

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

IS - 13-14

ER -

ID: 392568354