Symmetry and wavelet transforms for image data compression
UNSPECIFIED (1998) Symmetry and wavelet transforms for image data compression. In: 4th IMA Conference on Mathematics in Signal Processing, UNIV WARWICK, COVENTRY, ENGLAND, DEC 17-19, 1996. Published in: MATHEMATICS IN SIGNAL PROCESSING IV, 67 pp. 287-300.Full text not available from this repository.
This paper describes work in the application of wavelet transforms to the data compression of both still images and image sequences. The main principle underlying the work is the representation of the natural symmetries of image data, which form a subgroup of the 2-d affine group, itself an approximation in 2-d of the motions resulting from perspective projection of the rigid motions in 3-d. It will be shown how the use of a suitable wavelet transform can simplify the representation of these motions, to good effect in two data compression applications. The first is a recasting of fractal compression into a more conventional predictive framework, using an orthonormal wavelet basis. The second makes use of an overcomplete wavelet transform in estimating motions for video coding.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics
|Series Name:||INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES : NEW SERIES|
|Journal or Publication Title:||MATHEMATICS IN SIGNAL PROCESSING IV|
|Editor:||McWhirter, JG and Proudler, IK|
|Number of Pages:||14|
|Page Range:||pp. 287-300|
|Title of Event:||4th IMA Conference on Mathematics in Signal Processing|
|Location of Event:||UNIV WARWICK, COVENTRY, ENGLAND|
|Date(s) of Event:||DEC 17-19, 1996|
Actions (login required)
Downloads per month over past year