Multichannel deconvolution: the generalized sampling approach

Michael J. Vrhel; Michael A. Unser

doi:10.1117/12.188040

30 September 1994 Multichannel deconvolution: the generalized sampling approach

Michael J. Vrhel, Michael A. Unser

Proceedings Volume 2302, Image Reconstruction and Restoration; (1994) https://doi.org/10.1117/12.188040
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

We investigate the problem of signal restoration and reconstruction in a multi-channel system with the constraint that the entire system acts as a projection operator. This projection requirement is optimal in the noise free case since an input signal which is contained in the reconstruction space is recovered exactly. We find a general optimization problem which gives rise to a large class of projection operators. This formalization allows optimization of various criteria while enforcing the projection constraint. In this paper, we consider the projection operator which minimizes the noise power at the system output. The significance of this work is that it incorporates knowledge of the final reconstruction method which can include splines, wavelets, or display devices. In addition, unlike most classical formulations, the input signal is not required to be band- limited; it can be an arbitrary finite energy function. The approach requires no a priori information about the input signal, but does require knowledge of the impulse responses of the input channels. The projection method is compared to a generalized multi-channel Wiener filter which uses a priori signal information. At best the projection approach achieves the least squares solution which is the orthogonal projection of the input signal onto the space defined by the reconstruction method.

Citation Download Citation

Michael J. Vrhel and Michael A. Unser "Multichannel deconvolution: the generalized sampling approach", Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); https://doi.org/10.1117/12.188040

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