Scaling method for linear-phase lattice filters for multiresolution image coding

P. Desneux; J. Y. Mertes; Benoit M. M. Macq; Jean-Didier Legat

doi:10.1117/12.185935

16 September 1994 Scaling method for linear-phase lattice filters for multiresolution image coding

P. Desneux, J. Y. Mertes, Benoit M. M. Macq, Jean-Didier Legat

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185935
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Subband coding is one of the most used techniques for image compression. The coding consists in splitting the image into different frequency bands. These subbands are then coded independently from each other, the most part of bits being allocated to the subbands containing the most part of the energy. The subband decomposition is usually achieved by signal filtering. Multiresolution transform represents such a filtering technique. In most cases, filter design and optimization does not take hardware implementation constraints into account. However, these can lead to a loss of performances in the compression algorithms due to roundoff noise or coefficient quantization. In this article, we show the influence of finite precision effects on results achieved with a multiresolution architecture, using a transform based on separable linear-phase filters implemented in their lattice form. We also propose a scaling method which tries to minimize the computation noise and to avoid overflows. This scaling method has been simulated and gives useful results for the design of an integrated circuit implementing the multiresolution transform.

Citation Download Citation

P. Desneux, J. Y. Mertes, Benoit M. M. Macq, and Jean-Didier Legat "Scaling method for linear-phase lattice filters for multiresolution image coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available