DocumentCode
2467648
Title
Embedded Laplacian pyramid image coding using conditional arithmetic coding
Author
Müller, Frank ; Illgner, Klaus ; Menser, Bernd
Author_Institution
Inst. fur Elektrische Nachrichtentech., Tech. Hochschule Aachen, Germany
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
221
Abstract
A method for still image coding is proposed which allows for progressive transmission, because low detailed versions of the image can be reconstructed from a truncated bit stream. The proposed method is in its main aspects close to the classical pyramid approach of Burt and Adelson (1983). While retaining the main idea of using a Laplacian pyramid type decomposition, the new proposal differs in the filters employed for pyramid decomposition and in the bit allocation and quantization. The image is decomposed into an improved Laplacian pyramid. The pyramid is quantized and coded following a layered quantization approach together with a layered coding method based on conditional arithmetic coding. The encoder outputs an embedded bit stream. Thus the decoder may truncate the bit stream at any point, which results in a more or less detailed image. Besides this rate-distortion scalability the coder has a multiresolution property, due to the pyramid decomposition. An extension to hybrid video coding is also discussed
Keywords
arithmetic codes; data compression; image coding; image reconstruction; image resolution; quantisation (signal); rate distortion theory; video coding; Laplacian pyramid; bit allocation; conditional arithmetic coding; embedded bit stream; embedded coding; hybrid video coding; image decomposition; image reconstruction; layered coding method; layered quantization approach; multiresolution property; progressive transmission; pyramid decomposition; rate-distortion scalability; still image coding; truncated bit stream; Arithmetic; Bit rate; Decoding; Filters; Image coding; Image reconstruction; Laplace equations; Proposals; Quantization; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.559473
Filename
559473
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