Set theoretic compression with an application to image coding

Author

Thao, Nguyen T. ; Asai, Kohtaro ; Vetterli, Martin

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong

Volume

2

fYear

1994

fDate

13-16 Nov 1994

Firstpage

336

Abstract

We discuss the concept of set theoretic compression where the input signal is implicitly encoded by the specification of a set which contains it, rather than an estimate which approximates it. This approach assumes the reconstruction of an estimate from the encoded set information only at the decoder side. We explain the motivations of this approach for high signal compression and encoding simplification, and the implication of more complex decoding. We then present the tools to support the approach. We finally show a demonstration of this approach in a particular application of image coding

Keywords

data compression; decoding; discrete cosine transforms; image coding; image reconstruction; set theory; transform coding; block DCT coding; decoder; decoding; encoding; estimate reconstruction; high signal compression; image coding; image reconstruction; input signal; set theoretic compression; Binary sequences; Decoding; Discrete cosine transforms; Hypercubes; Image coding; Image reconstruction; Probability distribution; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413587

Filename

413587