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Coordinate Logic Order Statistics & Applications in image Processing

CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2015年第3期34卷 901-929页

作者： Tsirikolias, Kostas D. Daedalus Ltd R&D Dept Athens 16675 Greece

A new approach regarding Low-Level image & Signal processing is presented. This new approach deals with the philosophy of finding a method for designing and executing algorithms (filters), using the least possible complexity. The proposed method is based on Coordinate Logic Order Statistics filters (CL-OS) which are an extension of Coordinate Logic Filters and introduces a minimalistic approach in filter design followed by an satisfactory efficiency in terms of quality, speed, complexity, and energy consumption. CL-OS filters have similar functionality with OS filters, specifically the basis of OS filters is the sorting of the original signal values while the basis of CL-OS filters is the sorting of the binary levels of the original signal values. The intrinsic feature of CL-OS filters is their explicit low overall complexity which is , on the other hand the general overall complexity of OS filters is;moreover, CL-OS filters are characterized by a naturally embedded parallelism which makes them absolutely appropriate for H/W implementation and real-time applications. Another characteristic property of CL-OS is that their field of definition includes the OS's field of definition causing an increase of the signal energy and thus constituting them not only smoothers but enhancers too. The last property is of great importance since it reveals new signal information giving a different interpretation of the original signal.

关键词： Coordinate logic filters Order statistics Real-time image processing Median non-linear image quantization

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