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Chapter and Conference Paper
Correction to: A Very Deep Adaptive Convolutional Neural Network (VDACNN) for Image Dehazing
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Chapter and Conference Paper
A Very Deep Adaptive Convolutional Neural Network (VDACNN) for Image Dehazing
The main challenge faced by the existing methods is that they cannot efficiently eliminate the haze from the dense hazy or foggy images. The haze features of dense hazy images are not effectively
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Article
Probabilistic algebraic attack on plantlet lightweight stream cipher
Plantlet is a new variant of Sprout lightweight stream cipher. It uses 61 bit LFSR and 40 bit NFSR. This paper presents a study of Plantlet stream cipher with probability based approach for making algebraic at...
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Article
Eigenvalue-Based Spectrum Sensing Under Correlated Noise for Multi-dimensional Cognitive Radio Receiver
Spectrum sensing is a fundamental stage in cognitive radio networks. The eigenvalue-based spectrum sensing is an optimum blind sensing scheme for sensing of correlated signals. However, its performance several...
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Article
Co-variance Based Adaptive Threshold Spectrum Detection Optimized with Chameleon Swarm Optimization for Optimum Threshold Selection in Cognitive Radio Networks
In cognitive radio networks, Spectrum sensing is most important task for avoiding the unacceptable interference to primary users. The performance of spectrum sensing is based on the threshold value used in the...
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Article
A generic post-processing framework for image dehazing
There are several methods available for image dehazing. The challenges faced by most of these algorithms include under-exposure and leftover haze after dehazing, which eventually leads to low brightness and lo...
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Chapter and Conference Paper
Fast Adaptive Image Dehazing and Details Enhancement of Hazy Images
The majority of the existing methods for image dehazing are of more complexity, which exhibits more time for execution. Therefore, these algorithms may not be suitable for real-time image processing systems. A...
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Article
Analysis of NOMA based UAV assisted short-packet communication system and blocklength minimization for IoT applications
Recently, academia and industry have shown keen interest in achieving ultra-reliable and low latency communication (URLLC) through short-packet communication to meet the strict demands concerning high reliabil...
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Chapter and Conference Paper
Image Dehazing Based on Colour Ellipsoid Prior and Low-Light Image Enhancement
The images in hazy environment are not clearly visible due to atmospheric light scattering. Hence, image dehazing is required to reduce the haze effect. In this paper, a colour ellipsoid prior-based model is u...
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Chapter and Conference Paper
Cooperative Spectrum Sensing Using Eigenvalue-Based Double-Threshold Detection Scheme for Cognitive Radio Networks
Sensing spectrum in a reliable and efficient manner is a fundamental problem in cognitive radio networks. The energy-based detection methods are highly noise uncertainty conditions. The eigenvalue-based detect...
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Article
Intelligent selection of threshold in covariance-based spectrum sensing for cognitive radio networks
The radio spectrum sensing has been an important issue of research in cognitive radio networks over the last decade and the appropriate selection of threshold plays a crucial role in the process of spectrum se...
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Article
Grey relational analysis based adaptive smoothing parameter for non-local means image denoising
In non-local means (NLM) algorithm used for suppression of noise in digital images, the choice of smoothing or decay parameter is a critical issue, which affects the performance of NLM algorithm by influencing...
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Article
A statistical approach to adaptive search region selection for NLM-based image denoising algorithm
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. ...
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Chapter and Conference Paper
Impulse Noise Removal from Color Images Using Adaptive Neuro–fuzzy Impulse Detector
In this paper, we present a filtering scheme based on adaptive neuro-fuzzy inference system (ANFIS) for restoration of color images. The adaptive neuro-fuzzy impulse noise detector provides a reliable detectio...
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Article
Feedforward neural network for blind equalization with PSK signals
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 ...
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Article
Fast Blind Equalization Using Complex-Valued MLP
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...
