Type:
Conference Paper›Invited and refereed articles in conference proceedings
Authored by:
Sidiropoulos, N D., Baras, John S., Berenstein, Carlos A.
Conference date:
July 24-26, 1991
Conference:
SPIE 1991 International Symposium on Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, Vol. 1569,, pp. 356-366
Full Text Paper:
Abstract:
We employ recent results of analysis in several complex variables to come up with a set of compactly supported approximate deconvolution kernels for the reconstruction of a two dimensional signal based on multiple linearly degraded versions of the signal with a family of kernels that satisfy suitable technical conditions. We discuss the question of convergence of the proposed deconvolution kernels, present simulation results that demonstrate the gain in bandwidth, and propose two data parallel grid layouts for the off-line computation of the deconvolution kernels.