A 2D recursive low-pass filter with adaptive coefficients for restoring images degraded by Gaussian noise is proposed. Some of the ideas developed are also submitted for nonGaussian noise. The adaptation is performed with respect to three local image features-edges, spots, and flat regions-for which detectors are developed by extending some existing methods. It is demonstrated that the filter can easily be extended so that simultaneous noise removal and edge enhancement is possible. A comparison with other approaches is made. Some examples illustrate the performance of the filter.
In this paper, it is shown that the 2-D 1-multiply 1-add structure, i.e. a structure with minimum cycle time introduced by Gnanasekaran [1] can be implemented without shift registers, but with a RAMimplementation of the element zj l zj . A systolic realization for this structure is developed which is suited for VLSI. It is shown that the systolic realization can be extended to higher order simply by adding processing elements (PEs). Übersicht: In der Arbeit wird gezeigt, daß eine von Gnanasekaran [1] eingeführte Digitalfilterstruktur mit minimaler Zykluszeit ohne Schieberegister implementiert werden kann; statt dessen wird eine RAM-Implementierung des Elements z^'zj 1 vorgeschlagen. Es wird eine systplische Realisierung für diese Struktur entwickelt, welche sich für die VLSI eignet. Es wird gezeigt, daß sich die systolische Realisierung durch Hinzufügung weiterer Verarbeitungselemente einfach auf höhere Ordnung erweitern läßt Für die Dokumentation: Zweidimensionale Filter / Bildverarbeitung
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