Rajoo Pandey

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This letter presents a new filtering scheme based on contrast enhancement within the filtering window for removing the random valued impulse noise. The application of a nonlinear function for increasing the difference between a noise-free and noisy pixels results in efficient detection of noisy pixels. As the performance of a filtering system, in general,(More)
For proper and efficient design of wireless sensor network, minimum energy consumption within the sensors and a longer lifespan of sensor network has been posing a serious challenge for the engineers and scientists. Clustering infrastructure which allows efficient use of available resource has great potential in solving the problems of resource limited(More)
Most of the cost functions used for blind equalization are nonconvex and nonlinear functions of tap weights, when implemented using linear transversal filter structures. Therefore, a blind equalization scheme with a nonlinear structure that can form nonconvex decision regions is desirable. The efficacy of complex-valued feedforward neural networks for blind(More)
The blind equalizers based on complex valued feedforward neural networks, for linear and nonlinear communication channels, yield better performance as compared to linear equalizers. The learning algorithms are, generally, based on stochastic gradient descent, as they are simple to implement. However, these algorithms show a slow convergence rate. In the(More)
As the performance of the filtering system depends upon the accuracy of the noise detection scheme, in this paper we present a new scheme for impulse noise detection based on the local contents of the selected spatial window. In the proposed scheme we also use a noise estimator to decide the number of iterations during the first pass of the filtering. The(More)
The choice of appropriate value of threshold in median-based impulse detection method becomes difficult due to its dependence on the noise density and image characteristics. In the case of random valued noise(RVIN), if a fixed value of threshold is used then it will result into large percentage of missed and false detection. Therefore, a variable threshold(More)
Non-local means (NLM) filtering is an effective and popular image denoising algorithm. It estimates the pixel by taking advantage of redundancy present in a whole image or in a predefined fixed search region. NLM algorithm using fixed size search region for all pixels is unable to preserve the important details such as edges and texture in an image due to(More)
Orthogonal Frequency Division Multiplexing (OFDM) systems are very sensitive to carrier frequency offset (CFO), caused by either frequency differences between transmitter and receiver local oscillators or by frequency selective channels. The CFO disturbs the orthogonality among subcarriers of OFDM system and results intercarrier interference (ICI), which(More)
In this paper a two stage image filtering scheme is presented. In the firest stage adaptive neuro-fuzzy system (ANFIS) based impulse noise detector is used to locate the noisy pixels and in the second stage improved vector median filter is used to provide the accurate value of the corrupt pixel. The training of the detector is accomplished by several(More)