Muhammad Ali Qureshi

• PhD
• Professor / Chairman at Islamia University of Bahawalpur

Contrast Enhancement Evaluation (CEE) is a very challenging problem. In this work, we provide a detailed performance analysis of CEE measures. The study was conducted on our newly developed database dedicated to psychophysical Contrast Enhancement (CE) quality evaluation. The database contains 30 original images and 180 enhanced images obtained usi...

Image inpainting is the process of restoring missing pixels in digital images in a plausible way. Research in image inpainting has received considerable attention in different areas, including restoration of old and damaged documents, removal of undesirable objects, computational photography, retouching applications, etc. The challenge is that the...

We propose a new algorithm for image compression based on compressive sensing (CS). The algorithm starts with a traditional multilevel 2-D Wavelet decomposition, which provides a compact representation of image pixels. We then introduce a new approach for rearranging the wavelet coefficients into a structured manner to formulate sparse vectors. We...

With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. Now, you can add, change or delete significant information from an image, without leaving any visible signs of such tampering. With more than several millions pictures uploaded daily to the net, the move towards paperless work...

In the last 25 years, operators have effectively established passive optical networks (PONs), catering to around 1 billion users and earning income surpassing 8.5 billion Euros. Major standardization bodies like IEEE and ITU-T have introduced several PON solutions to mitigate last-mile broadband access and bandwidth allocation problems for end user...

Phasor measurement units (PMUs) provide synchronized measurements to enhance power system monitoring, strategically placed to achieve full network observability with minimal cost. In this paper, the PMU placement problem for critical buses is addressed using integer linear programming, taking into account both PMU contingencies and the impact of ze...

This review paper gives a comprehensive review of nonlinearities and recent advances in nonlinearities estimation in optical fiber transmission systems. The most frequent irregularities in optical communication systems are Four-Wave Mixing (FWM), Self-Phase Modulation (SPM), and Cross-Phase Modulation (XPM). These nonlinearities have a significant...

Audio forensics in the criminal justice system always remains significant support. Voice prints are of great interest to investigators as partial evidence of illegal activities. However, with rapid technological advancements, people with illicit intentions often utilize different voice changers as anti-forensic weapons and disguise their voices ele...

The optimal PMU placement problem is placing the minimum number of PMUs in the network to ensure complete network observability. It is an NP-complete optimization problem. PMU placement based on cost and critical nodes is solved separately in the literature. This paper proposes a novel approach, a degree of centrality in the objective function, to...

Over the past few years, the use of DC-DC buck-boost converters for Photovoltaic (PV) in renewable energy applications has increased for better results. One of the main issues with this type of converter is that output voltage is achieved with the undesired ripples. Many models are available in the literature to address this issue, but very limited...

Using deep learning-based tools in the field of agriculture for the automatic detection of plant leaf diseases has been in place for many years. However, optimizing their use in the specific background of the agriculture field, in the presence of other leaves and the soil, is still an open challenge. This work presents a deep learning model based o...

Security and confidentiality are one of the main concerns when transmitting multimedia data over the Internet. To deal with the arising security issues, many advanced cryptographic algorithms have been proposed in the literature. The efficiency of these encryption algorithms varies according to the application area in which they are deployed. Altho...

Blockchain, the pillar of the Fourth Industrial Revolution (4IR), is being used to provide security to the data of traditional record-keeping systems. However, the implementation of blockchain technology is not easily possible in such systems. For instance, the execution cost of shifting the existing system to the blockchain is extremely high makin...

For the last decade, the use of deep learning techniques in plant leaf disease recognition has seen a lot of success. Pretrained models and the networks trained from scratch have obtained near-ideal accuracy on various public and self-collected datasets. However, symptoms of many diseases found on various plants look similar, which still poses an o...

One of the challenges for Mobile Network Operators (MNO) in 5G deployment is to ensure reliability in the various sections of the network as the new services and applications, for instance, video on demand, telemedicine, online learning, smart transportation and augmented reality require not only high bandwidth but also demand uninterrupted service...

Open surface water body extraction is gaining popularity in recent years due to its versatile applications. Multiple techniques are used for water detection based on applications. Different applications of Radar as LADAR, Ground-penetrating, synthetic aperture, and sounding radars are used to detect water. Shortwave infrared, thermal, optical, and...

An ultra-miniaturized implantable antenna operating on the Industrial, Scientific, and Medical (ISM) band of 902-928 MHz is proposed in this paper. This antenna is designed on bio-compatible Rogers ULTRA-LAM 3850HT (εr= 2.9, tanδ = 0.0025) dielectric with a thickness of 0.1 mm for substrate and super-strate. The shorting pin has been introduced to...

Several research articles are available in the literature regarding the design of antennas, but hardly (to the best of authors’ knowledge) few papers covered the antennas that are designed for the detection, diagnostics, and monitoring of various diseases. There is a need for a research article in which the design and performance of such significan...

Automatic detection of plant diseases has emerged as a challenging field in the last decade. Computer vision-based advancements have helped in timely and accurate identification of diseases, making possible an appropriate treatment and hence ensuring an increased yield. Diseases attack in different formations on a plant; the most severe being multi...

The requirement of mounting several access points and base stations is increasing tremendously due to recent advancements and the need for high-data-rate communication services of 5G and 6G wireless communication systems. In the near future, the enormous number of these access points might cause a mess. In such cases, an optically transparent anten...

Passing through the transformation of wood to coal then to oil and gas, we find ourselves fortunate to witness the next major transformation, which will lead us to the “New Energy Era.” Due to advancements in the field of electronics, energy harvesting has attracted great attraction from researchers and scientists to enhance portability and reliabi...

This work presents a battery-ultracapacitor hybrid energy storage system (HESS) for pulsed loads (PL) in which ultracapacitors (UCs) run the pulse portion of the load while the battery powers the constant part of the load. Energy stored in UC depends upon the square of its voltage that's why an active parallel hybrid topology with two bidirectional...

Purpose This paper aims to improve the computational efficiency of higher-order accurate Noye–Hayman [NH (9,9)] implicit finite difference scheme for the solution of electromagnetic scattering problems in tunnel environments. Design/methodology/approach The proposed method consists of two major steps: First, the higher-order NH (9,9) scheme is num...

Phasor measurement unit (PMU) technology is a need of the power system due to its better resolution than conventional estimation devices used for wide-area monitoring. PMUs can provide synchronized phasor and magnitude of voltage and current measurements for state estimation of the power system to prevent blackouts. The drawbacks of a PMU are the h...

Purpose The purpose of this paper is to provide a brief introduction of the finite difference based parabolic equation (PE) modeling to the advanced engineering students and academic researchers. Design/methodology/approach A three-dimensional parabolic equation (3DPE) model is developed from the ground up for modeling wave propagation in the tunn...

In this paper, the first-ever Urdu language singing voices corpus is developed using linguistic (phonetic) and vocoder (F0 contours) features. Singer identity feature vector along with the Urdu singing voices corpus is used in the synthesis of multi speakers Urdu singing voices using Wasserstein Generative Adversarial Network (WGAN) framework based...

The article received 40 citations.

Visual Cryptography (VC) is gaining attraction during the past few years to secure the visual information in the transmission network. It enables the visual data i.e. handwritten notes, photos, printed text, etc. to encrypt in such a way that their decryption can be done through the human visual framework. Hence, no computational assistance is requ...

Cotton is an important commodity because of its use in various industries across the globe. It is grown in many countries and is imported/exported as a cash crop due to its large utility. However, cotton yield is adversely affected by the existence of pests, viruses and pathogenic bacteria, etc. For the last one decade or so, several image processi...

The continuous growth in mobile network traffic driven by the extensive range of new user applications, for instance, interactive e-learning, social networking sites, remote medical service and machine-to-machine communication has pushed the mobile network operators to enhance their network capacity. The main solution to deal with this problem is t...

In this paper, a single-layer compound unit element is proposed for reflectarray antenna design operating in Ka-band (26.5-29.5GHz) at the center frequency of 28GHz. A systematic study on the performance of a compound unit element is examined first. The structure of the proposed unit element is a unique combination of two different shape simple pat...

IEEE Lahore Section, IEEE Bahawalpur Subsection and The Islamia University of Bahawalpur welcomes you to the 23rd IEEE 2020 International Conference on Multi Topic (INMIC'2020). IEEE International Multi Topic Conference, INMIC (International Multi Topic Conference) is the flag ship annual conference of IEEE in Pakistan. The conference is a prestig...

Internet of Things (IoT) is the major technology of the 4 th industrial revolution in which various types of devices are connected together to work smartly without the intervention of humans. IoT seems to impart a great impact on our social, economic, and commercial lives. IoT applications are converting from smart home and smart me to the smart ci...

Nowadays Non-Intrusive Load Monitoring (NILM) is considered a hot topic among researchers. The energy disaggregation datasets are used as the benchmark to validate the performance of energy disaggregation algorithms. It is indeed rather difficult to record the load monitoring of devices and appliances; therefore various benchmarking datasets have b...

In this paper, a new single layer subwavelength unit cell is designed for reflective metasurface at 28 GHz suitable for 5G communication with linear phase response and wide bandwidth characteristics. The proposed unit cell is analyzed through Floquet mode analysis for two different sizes. The unit cell with conventional half-wavelength size (HWS) h...

Parabolic equation models discretised with the finite‐difference method have been a research topic for a long time. Through the simulation of electromagnetic wave propagation characteristics in typical scenarios, it is pointed out that the fast algorithm needs to be developed for the solution of two‐level Noye–Hayman (NH2) implicit method to meet t...

The use of deep networks in agriculture has increased enormously in the last decade including their use to classify different plant leaf stresses. More recently, a large number of deep learning-based approaches for plant leaf stress identification have been proposed in literature but there are only a few partial efforts to summarize different contr...

Contrast in visible images is one of the most relevant characteristics of visual signals. Since the pioneering works performed in vision psychology and optics, different definitions have been proposed in the literature. However, for the time being there exist no definition of contrast on which the vision research and visual processing scientific co...

In future radio access network (RAN), many small cells (SCs) will be densely deployed to meet the capacity demand of mobile users. Centralized radio access network (CRAN) is a potential solution to increase the capacity demand of RAN. CRAN breaks the functionality of RAN between remote radio head (RRH) and baseband unit (BBU) where RRH and BBU are...

Underwater Image/Video Processing and analysis Over the last few years the research community has seen an increase in studies performed on underwater image and video processing. This interest is mainly focused on processing images and videos recorded underwater keeping in mind different applications such as mining, biological and geological issues,...

Millimeter-wave technology is getting very popular nowadays for fifth-generation (5G) communications due to increased data rate and bandwidth. The world radio conference 2015 by International Telecommunication Union (ITU) has allocated the band 81 GHz to 86 GHz for mobile applications on a primary basis. This work presents a very compact tapered pl...

Centralized radio access network (CRAN) is getting considerable attention in 5G radio access network infrastructure because of supporting deployments of small cells at a massive scale. In particular, CRAN enables network operators to enhance network coverage and capacity without interference with one cell solution and centralized radio processing....

In this paper, we present a new region-based image retrieval technique based on robust image segmentation. Traditional content-based image retrieval deals with the global description of a query image. We combine the state-of-the-art segmentation algorithms with the traditional approach to narrow the area of interest to a specific region within a qu...

With the massive increase of online content, widespread of social media, the popularity of smartphones, and rise of security breaches, image forensics has attracted a lot of attention in the past two decades alongside the advancements in digital imaging and processing software. The goal is to be able to verify authenticity, ownership, and copyright...

Fires generally occur due to human carelessness and the change in environmental conditions. The uncontrolled fire results in death incidents of humans and animals as well as severe threats to the ecosystem. The preservation of the natural environment is important. The wireless sensor networks, widely used in different monitoring applications, is us...

In this paper, we present a robust and computationally efficient image segmentation technique based on a hybrid convex active contour and the Chan–Vese (CV) model. The proposed algorithm overcomes the drawbacks of existing image segmentation techniques which are heavily dependent upon the initial user input. Here, we propose to combine region-based...

In this paper, we propose new attributes for seismic interpretation in 3D volumes using Higher Order Singular Value Decomposition (HOSVD). HOSVD has the advantage of taking into account multidimensional data and therefore can effectively be used for 3D seismic data. Contrary to many existing attributes that are extracted from 2D windows, the propos...

In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrated seismic volume. These attributes are generated in either frequency or space domain, including steerable pyramid, curvelet, local binary pattern, and local radius index...

In this paper, we explore how to computationally characterize subsurface geological structures presented in seismic volumes using texture attributes. For this purpose, we conduct a comparative study of typical texture attributes presented in the image processing literature. We focus on spatial attributes in this study and examine them in a new appl...

During the last decade, the CR (Cognitive Radio) came into view as a major wireless technology to resolve the issue of spectrum secrecy and efficient spectrum utilization. However, due to unlicensed (secondary) users, there are various security threats to the CRN (Cognitive Radio Networks). Some malicious users may access the CRN and mislead the se...

The kernel weighted fuzzy c-means clustering with local information (KWFLICM) algorithm performs robustly to noise in research related to image segmentation using fuzzy c-means (FCM) clustering algorithms, which incorporate image local neighborhood information. However, KWFLICM performs poorly on images contaminated with a high degree of noise. Thi...

For the first time, a database dedicated to contrast enhancement performance evaluation is proposed. This database has recently been developed by our group. In this paper, a detailed description of this database and the methodology we used to build it are discussed. We show that the perceptual quality of contrasted images is related to some specifi...

We have explored how to computationally characterize subsurface geologic structures presented in seismic volumes using texture attributes. For this purpose, we conduct a comparative study of typical texture attributes presented in the image processing literature. We focus on spatial attributes in this study and examine them in a new application for...

Security and monitoring systems are increasingly demanding in terms of quality, reliability and flexibility especially those dedicated to video surveillance. The aim of this study is to identify some limiting factors in the existing video-surveillance systems and to propose a set of best practices for developing a smart platform for a security moni...

Security and monitoring systems are increasingly demanding in terms of quality, reliability and flexibility especially those dedicated to video surveillance. The aim of this study is to identify some limiting factors in the existing video-surveillance systems and to propose a set of best practices for developing a smart platform for a security moni...

Security in the wireless ad hoc network is being considered as a great issue due to the absence of central authority and a priori trustworthy relationship. Moreover, the wireless links are also prone to eavesdropping, replay, and spoofing attacks. The existing security features developed for the wired networks are not well suited for the wireless a...

This paper presents a robust method for passive content authentication of gray and color images. The idea is to capture local and global artifacts resulting from the image manipulation through combining intra-block Markov features in both LBP and DCT domains. An optimized support-vector machine with radial-basis kernel is then trained to classify i...

The fields of applied sciences and engineering require Pseudorandom Number Generators which exhibit useful statistical properties. In this paper, a novel algorithm for generating pseudorandom numbers has been proposed. This new algorithm is based on Duffing map. The aim of this paper is to generate pseudorandom bit streams based on chaotic map. The...

In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected...

This letter introduces a novel framework for blind blur assessment in color images using higher order singular values. The RGB color image is seen as a 3rd-order tensor to exploit the spatial and interchannel correlation, so that blurring effects are captured more robustly. The tensor is decomposed into different two-dimensional matrices, also call...

In this paper, we propose a new approach for image compression based on compressive sensing (CS). The algorithm starts with a traditional multilevel 2-D Wavelet decomposition, which provides a compact representation of image pixels. We introduce a new formulation of sparse vectors for rearranging the wavelet coefficients into a structured manner us...

In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrated seismic volume. These attributes are generated in either frequency or space domain, including steerable pyramid, curvelet, local binary pattern, and local radius index...

Contrast enhancement is one of the most studied problems in image processing. A plethora of approaches has been proposed in the literature for image enhancement since the pioneer work of Kovasznay and Joseph in 1955 [1] and the famous contribution of Gabor in 1965 on image deblurring [2]. However, very few works have been dedicated to contrast enha...

The development of robust No-Reference Image Quality Assessment (NR-IQA) techniques continues to be a challenging problem. NR-IQA techniques are critical in numerous multimedia applications. Most existing techniques are distortion-specific, as they are only efficient when the type of distortion is known. In this work, we introduce a computationally...

Nowadays, it is extremely simple to manipulate the content of digital images without leaving perceptual clues due to the availability of powerful image editing tools. Image tampering can easily devastate the credibility of images as a medium for personal authentication and a record of events. With the daily upload of millions of pictures to the Int...

With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. It is now possible to add, modify, or remove important features from an image without leaving any perceptual traces of tampering. With more than several million pictures uploaded daily to the net, and the introduction of e-Gov...