Robert Grou-Szabo

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A dominant-noise identification system used on images corrupted by content-independent noises without a priori information has been developed. As representative examples of content-independent noises additive white Gaussian noise (AWGN) and random impulse noise (RIN) are used. The system uses two noise detectors to estimate the intensity component of either(More)
In certain situations, a software application or even a hardware processing unit receives image data in a raster format, such as in a bitmap file, without any knowledge of what, if any, prior processing has occurred to it. If further processing is intended, it can be helpful or even necessary to know of an image's processing history. Using a directional(More)
This paper talks about a random impulse-noise detection scheme that was developed to be used as the first stage of a switching median filter. First by using an edge detector with a dynamic threshold, hidden artifacts are revealed by gradually changing the threshold of the edge detector. Then by applying a series of masks to the edge maps, the artifacts are(More)
A method to determine the parameters of directional motion blurring noise using edge detectors is developed in this paper. Once the parameters characterizing the blurring noise are known, the point spread function (PSF) of the blurring noise can be reconstructed and the noise subsequently eliminated. The algorithm uses an edge detector with dynamic(More)
This paper proposes a new methodology for the design of reusable IP blocks used in data-flow architectures. These IP blocks are elaborated by encapsulating individual operators that constitute part of an algorithm within wrappers that possess a configurable communication layer. This IPs communicates using the VCI protocol, and the interconnections are(More)
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