A5045849340- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
- Medical Image Segmentation Techniques
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Advanced Photocatalysis Techniques
- Sparse and Compressive Sensing Techniques
- Advanced Numerical Analysis Techniques
- Blind Source Separation Techniques
- Sentiment Analysis and Opinion Mining
- Healthcare Policy and Management
- Image and Object Detection Techniques
- Consumer Perception and Purchasing Behavior
- Spam and Phishing Detection
- Global Health Care Issues
- Islamic Finance and Banking Studies
- Pelvic and Acetabular Injuries
- Image and Video Quality Assessment
- Luminescence Properties of Advanced Materials
- Dental Radiography and Imaging
- Video Surveillance and Tracking Methods
- Gas Sensing Nanomaterials and Sensors
- Generative Adversarial Networks and Image Synthesis
University of Engineering and Technology Peshawar
2012-2023
Gomal University
2019-2022
Khyber Medical College
2020
Hohai University
2015-2018
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
2016-2018
This paper proposes a new variational model for joint multiplicative denoising and deblurring. It combines total generalized variation filter (which has been proved to be able reduce the blocky-effects by being aware of high-order smoothness) shearlet transform (that effectively preserves anisotropic image features such as sharp edges, curves so on). The takes advantage both regularizers since it is minimize staircase effects while preserving textures other fine details. existence uniqueness...
Minimization functionals related to Euler’s elastica energy has a broad range of applications in computer vision and image processing. This paper proposes novel curvature-based variational model for restoration corrupted with multiplicative noise. It combines curvature Weberized total variation (TV) regularization gets TV-based minimization functional. The combined approach this can preserve edges while reducing the blocky effect smooth regions. implicit gradient descent scheme is applied...
Recently, numerous studies have been carried out on the architecture of energy-efficient and environmentally friendly construction materials. In this study, there was studied content strontium aluminate europium dysprosium doping (SAEDD) properties cement mortar. Portland tested with 10%, 20%, 30% SAEDD. The mortar cube specimens were then reacted 5% hydrochloric (HCl) nitric acid (HNO3) sodium sulfate (Na2SO4) to test material's strength chemical stability. samples that supplemented 20%...
The total variation (TV) denoising method is a PDE-based technique that preserves the edges well but has undesirable staircase effect in some cases, namely, translation of smooth regions (ramps) into piecewise constant (stairs). This paper introduces novel mesh-free approach using TV (ROF model) regularization and radial basis function (RBF) for numerical approximation TV-based model to remove additive noise from measurements. structured on local collocation multiquadric function. These...
Outdoor images are usually affected by haze which limits the visibility and reduces contrast of images. Removal from real-world is always a challenging task. Recently, many mathematical models have been proposed for effective removal However, these may produce staircase effects or lower image smooth edges object. In this paper, we propose model based on Gaussian curvature de-hazing The atmospheric veil estimate included dark channel prior (DCP), can significantly reduce artifacts edge...
We propose a new fractional-order (space and time) total variation regularized model for multiplicative noise removal in this research article. use the regularly varying fuzzy membership degrees to characterize likelihood of pixel related edges, texture regions, flat regions improve efficiency. This approach is capable maintaining textures, other image information while significantly reducing blocky effect. opt option local actions. In order efficiently find minimizer prescribed energy...
Introduction: Hernia repair ranks among the most commonly performed surgical procedures worldwide, with two predominant approaches: mesh-based and tissue-only techniques. Mesh repairs, while effective in reducing recurrence rates, are associated complications like chronic pain foreign body reactions. Conversely, repairs avoid these but tend to have higher particularly complex hernias. This study aims evaluate long-term predictors of success for both techniques inform optimal decision-making....
In this paper our main focus is on developing a new variational model for restoration of images contaminated with multiplicative noise. For purpose based integer order total variation (IOTV) norm combined the fractional (FOTV) proposed and introduced modified fidelity term. It associated minimization certain energy subject to fitting term derived from maximum posteriori (MAP). Explicit time marching scheme applied minimizer functional. work, parameter dependence also discussed. Experimental...
This paper introduces a fractional order total variation (FOTV) based model with three different weights in the derivative definition for multiplicative noise removal purpose. The fractional-order Euler Lagrange equation which is highly non-linear partial differential (PDE) obtained by minimization of energy functional image restoration. Two numerical schemes namely an iterative scheme on dual theory and majorization-- algorithm (MMA) are used. To improve restoration results, we opt adaptive...
The Digital Total Variation (DTV) scheme is a digitized energy regularization used for image denoising. This technique takes advantage of being applied to arbitrarily located data points and also has the edge detective property. article aims introduce novel meshless using DTV filtering Radial Basis Functions (RBFs) solve associated equation with model numerically which results in denoising remove additive noise from information. algorithm based on local collocation Multiquadric Function....
Multiplicative noise based on Total Variation (TV) regularization has been widely researched in many image processing applications, such as Synthetic Aperture Radar (SAR) images, Ultrasound imaging, single particle emission-computed tomography etc. In problems, the is multiplied to original rather than added image. Usually logarithmic amplification used transfer multiplicative classical additive problem. Then this problem solved by ROF model. paper we develop a new model for with modified...
Segmenting outdoor images in the presence of haze, fog or smog (which fades colors and diminishes contrast observed objects) has been a challenging task image processing with several important applications. In this paper, we propose new fractional-order variational model that will be able to de-haze segment given simultaneously. The proposed method incorporates atmospheric veil estimation based on dark channel prior (DCP). This transmission map can reduce significantly edge artifacts enhance...
This paper addresses mathematical model for signal restoration based on fractional order total variation (FOTV) multiplicative noise.In alternating minimization algorithm the Newton method is coupled with time-marching scheme solutions of corresponding PDEs related to denoising model.Results obtained from experiments show that our can not only reduce staircase effect restored images but also better improve PSNR as compare other existed methods.
Objective: The aim of the study was to find out relationship between ‘chronological age and skeletal maturation’ ‘gender maturation. Materials Methods: lateral cephalometric radiographs 103 patients ranging from 8-18 years, both genders were taken. Cervical vertebrae maturation (CVM) method used determine development stages its co-relation with chronological gender patient. For corelation developmental age, Spearman rank order correlation coefficient used. And Fishers exact test stage....