Lossy dictionary-based image compression method

Gabriela Dudek; Przemysław Borys; Zbigniew J. Grzywna

doi:10.1016/j.imavis.2006.07.001

Lossy dictionary-based image compression method

Gabriela Dudek
, Przemysław Borys
, Zbigniew J. Grzywna

Department of Physical Chemistry and Technology of Polymers (RCH/RCH4)

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000.

Original language	English
Pages (from-to)	883-889
Number of pages	7
Journal	Image and Vision Computing
Volume	25
Issue number	6
DOIs	https://doi.org/10.1016/j.imavis.2006.07.001
Publication status	Published - 1 Jun 2007

Keywords

Compression
Image
LZ77
Noise
Quantization

ASJC Scopus subject areas

Signal Processing
Computer Vision and Pattern Recognition

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10.1016/j.imavis.2006.07.001

Cite this

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title = "Lossy dictionary-based image compression method",

abstract = "In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000.",

keywords = "Compression, Image, LZ77, Noise, Quantization",

author = "Gabriela Dudek and Przemys{\l}aw Borys and Grzywna, \{Zbigniew J.\}",

year = "2007",

month = jun,

day = "1",

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journal = "Image and Vision Computing",

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T1 - Lossy dictionary-based image compression method

AU - Dudek, Gabriela

AU - Borys, Przemysław

AU - Grzywna, Zbigniew J.

PY - 2007/6/1

Y1 - 2007/6/1

N2 - In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000.

AB - In this paper, we report on the new method of image compression. The method is based on LZ77 dictionary algorithm. We introduce two modifications such as quantization and noise levels. Experimental results presented in this paper prove that the new method of image compression gives promising results as compared with original LZ77 dictionary algorithm and JPEG2000.

KW - Compression

KW - Image

KW - LZ77

KW - Noise

KW - Quantization

UR - https://www.scopus.com/pages/publications/34047165444

U2 - 10.1016/j.imavis.2006.07.001

DO - 10.1016/j.imavis.2006.07.001

M3 - Article

AN - SCOPUS:34047165444

SN - 0262-8856

VL - 25

SP - 883

EP - 889

JO - Image and Vision Computing

JF - Image and Vision Computing

IS - 6

ER -

Lossy dictionary-based image compression method

Abstract

Keywords

ASJC Scopus subject areas

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