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Oversampling to Reduce the Effect of Timing Jitter
4.0
O RTHOGONAL frequency division multiplexing (OFDM) is used in many
wireless broadband communication systems because it is a simple and scalable
solution to inter symbol interference caused by a multipath channel. Very
recently the use of OFDM in optical systems has attracted increasing interest.
Data rates in optical fiber systems are typically much higher than in RF
wireless systems. The impairments caused by timing jitter are a significant limiting factor in
the performance of very high
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ADAPTIVE BILATERAL FILTER FOR SHARPNESS ENHANCEMEN
4.0
In this paper, we present the adaptive bilateral
filter (ABF) for sharpness enhancement and noise removal. The ABF sharpens an
image by increasing the slope of the edges without producing overshoot or
undershoot. It is an approach to sharpness enhancement that is fundamentally
different from the unsharp mask (USM). This new approach to slope restoration
also differs significantly from previous slope restoration algorithms in that
the ABF does not involve detection of edges or their orientation, or extraction
of edge profiles. In the ABF, the edge slope is enhanced by transforming the
histogram via a range filter with adaptive offset and width. The ABF is able to
smooth the noise, while enhancing edges and textures in the image. The
parameters of the ABF are optimized with a training procedure. ABF restored
images are significantly sharper than those restored by the bilateral filte
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Removal of High Density Salt & Pepper Noise Through a Modified Decision Based Median Filte
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In this paper, a modified decision based median filtering approach is presented for the restoration of gray scale
and color images that are highly corrupted by salt and pepper noise. It is an enhanced decision based algorithm where noise pixels are detected in several phases based on predefined threshold value. The noise pixels are replaced by median where median value is calculated without considering 0 and 255. As a
result, at high density noise environment it is very efficient to find noise free median value. The algorithm&nb
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