Abstract
AbstractWe describe an application of the nonlinear deconvolution algorithm CLEAN in which a priori knowledge of the point‐spread function allows transmission of nonredundant information. We refer to this as CLEAN compression. The point‐spread function is viewed as a redundancy function. The data set may be regarded as a convolution of the nonredundant information with the redundancy function. Since the nonredundant data is a small subset of the overall data set, images or telecommunication messages may be transmitted over narrowband channels using CLEAN. Effective analog data compression is maximized; the analog signal may be significantly compressed with CLEAN even before any additional compression or digital encoding algorithms are applied.©1994 John Wiley & Sons Inc
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More From: International Journal of Imaging Systems and Technology
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