Daniel Seidner

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The vector sampling expansion (VSE) is an extension of Papoulis’ generalized sampling expansion (GSE) to the vector case. In VSE, bandlimited signals, all with the same bandwidth , are passed through a multi-input–multi-output (MIMO) linear time invariant system that generates ( ) output signals. The goal is to reconstruct the input signals from the samples(More)
Changing resolution of images is a common operation. It is also common to use simple, i.e., small, interpolation kernels satisfying some "smoothness" qualities that are determined in the spatial domain. Typical applications use linear interpolation or piecewise cubic interpolation. These are popular since the interpolation kernels are small and the results(More)
Typical image processing applications use linear interpolation or piecewise cubic interpolation for resampling of images. However, since the frequency domain characteristics of the interpolation filters are not good, two effects usually appear and cause a noticeable degradation in quality of the image. The first is jagged edges and the second is low(More)
Today's FPGAs are capable of performing complex Image Processing schemes. For large images the limiting factor is the size of the line memory required, especially in lower cost FPGAs. In this paper we introduce an FPGA-based architecture for Pipelined Image Processor that utilizes external line memory. We describe the suggested architecture, explain the(More)
ABSTRACT Changing resolution of images is a common operation. It is also common to use simple, i.e., small interpolation kernels satisfying some ”smoothness” qualities that are determined in the spatial domain. Typical applications use linear interpolation or piecewise cubic interpolation. These are popular since the interpolation kernels are small and the(More)
This work presents an analysis of Papoulis’ Generalized Sampling Expansion (GSE) for a wide-sense stationary signal with a known power spectrum in the presence of quantization noise. We find the necessary and sufficient conditions for a GSE system to produce the minimum mean squared error while using the optimal linear estimation filter. This is actually an(More)
Today's FPGAs are capable of performing complex Image Processing schemes. For large images the limiting factor is the line memory required especially in lower cost FPGAs. In this paper we introduce a FPGA based architecture for Pipelined Image Processor that utilizes external line memory. We describe the suggested architecture, explain the reasoning behind(More)