Adaptive Compression of Compound Images

Author

Kountchev, Roumen ; Milanova, Mariofanna ; Todorov, Vladimir ; Kountcheva, Roumiana

Author_Institution

Tech. Univ.-Sofia, Sofia

fYear

2007

fDate

27-30 June 2007

Firstpage

133

Lastpage

136

Abstract

In the paper is presented new method for efficient compression of compound still images, containing pictures and texts/graphics. The method is based on the inverse difference pyramid (IDP) image decomposition and lossless coding of the obtained data. The method permits the recognition of texts and graphics in compound images, the setting of corresponding regions of interest (ROI) and their coding with the most efficient tools. The method ensures easy access and transfer of visual information via Internet aimed at distance learning applications.

Keywords

Hadamard transforms; data compression; discrete cosine transforms; image coding; adaptive image compression; compound still images; inverse difference pyramid image decomposition; lossless coding; regions of interest; Computer science; Discrete cosine transforms; Graphics; Gray-scale; Histograms; Image coding; Image decomposition; Image recognition; Matrix decomposition; Transform coding; Adaptive compression; Image histogram analysis; Lossless and lossy image compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Image Processing, 2007 and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services. 14th International Workshop on

Conference_Location

Maribor

Print_ISBN

978-961-248-029-5

Electronic_ISBN

978-961-248-029-5

Type

conf

DOI

10.1109/IWSSIP.2007.4381171

Filename

4381171