Vivek Maik

SRM Institute of Science and Technology | SRM · Department of Electronics and Communication Engineering

Major advancement in the field of medical image science is mainly due to deep learning technology, and it has demonstrated good performance in numerous applications such as segmentation and registration. Using generative adversarial networks (GAN), this study provides an outstanding data augmentation technique for developing synthetic chest X-ray i...

The digital image suffers from noise during transmission and reception. By preserving the qualities of the image, image denoising assists in the recovery of high-quality photos without noise (edge, corners, and sharp structures). Deep convolutional neural networks (CNNs) have been successfully employed for picture denoising due to their shifting to...

The present study investigates the electrochemical performance; charge density distribution, antimicrobial and antifungal activities of green synthesized silver nanoparticles (Ag NPs) using the leaf extract of Datura metel L. UV–vis absorption spectrum shows that highly stable, monodispersed Ag NPs formed at 418 nm. Particle size analysis with zeta...

The generative adversarial network (GAN), which has received considerable notice for its outstanding data generating abilities, is one of the most intriguing fields of artificial intelligence study. Large volumes of data are required to develop generalizable deep learning models. GANs are a highly strong class of networks capable of producing belie...

In this paper, we introduced a novel microlens array (MLA) design approach with the use of overlapped apertures. The chief ray tracing and paraxial imaging optics are utilised in projection imaging analysis. This work makes MLA structure design requirements more flexible. The proposed design is small and compact. It provides homogeneous illuminatio...

This work proposes a design of compensation for radial distortion of the barrel and pincushion distortion on picture geometry, both of which damage the image by utilizing the fisheye design model in the code v tool as the basis for the compensation. In order to prevent the picture's form from degrading, this model was constructed using image angle...

By making it difficult to obtain optimal design aberration and error function performance, the typical optical design approach isolates one phase of the system performance, optimization. This work provides an expert optimization model for enhancing optical design parameters to overcome this challenge. The tools in this model are both spherical and...

In biomedical applications, Cu2O nanoparticles are of great interest. The bioengineered route is eco-friendly for the synthesis of nanoparticles. Therefore, in the present study, there is an attempt to synthesis Cu2O nanoparticles using Datura metel L. The synthesized nanoparticles were characterized by UV–Vis, XRD, and FT-IR. UV–Vis results sugges...

The cost of a camera device has risen considerably in the last decade due to the optical lens element. Imaging system aberration is primarily caused by the different types of elements. The cost of an optical lens element is also related to the quality of the imaging system. The research proposes a unique optical design with reduced and optimized le...

Accurate and precise monitoring of cardiac arrhythmia’s helps to avoid serious heart issues. The research concentrates on using Photoplethysmography (PPG) and Arterial Blood Pressure (ABP) with deep Convolutional Neural Networks (CNN) for the classification and detection of fetal cardiac arrhythmia or Premature Ventricular Contractions (PMVCs). The...

The current investigation addresses the alternating current electrical properties, electrochemical characteristics on biopolymer as Withania somnifera leaf extract incorporated sodium alginate [WLISA] polymer film prepared by solution casting method. Some crystallinity along with the amorphous nature of sodium alginate emerged due to the incorporat...

Green synthesis is an effective method for the synthesis of metal and metal oxide nanoparticles. The strong affinity nature of phytochemicals has been effectively utilized as a source of non-toxic nanoparticle production. The optimized pH, concentration, temperature, reaction time needed for non-aggregated and stable biosynthesis silver nanoparticl...

Copper oxide (CuO) is a p-type metal-oxide semiconductor with a bandgap of 1.2 eV and a minimal bandgap. Solar cells, superconductors, and sensors are among the applications for which it is used. To dope transition metals, researchers use a low-cost soft chemical process (Mn). The aim of this research is to identify CuO nanopowders using a low-cost...

In this work we report the influence of Eu³⁺ on the structural, optical and conducting properties of bismuth vanadium oxide (Bi4V2O11). Various Eu³⁺ concentrations (0≤x≤0.20) was synthesized using the simple hydrothermal method. The results of structural characterization show that the monoclinic phase (α) is maintained during the inclusion of Eu³⁺...

In biomedical applications, Cu 2 O nanoparticles are of great interest. The bioengineered route is eco-friendly for the synthesis of nanoparticles. Therefore, in the present study, there is an attempt to synthesis of Cu 2 O nanoparticles using Datura metel L . The synthesized nanoparticles were characterized by UV-Vis, XRD, and FT-IR. UV-Vis result...

Photoplethysmography (PPG) signal captures blood volume change in the arteries that carry blood. PPG signals are often used to check the cardiovascular health in patients. Health care automation have made more importance into study of PPG signal and its automatic prognosis and diagnosis. In this paper we aim to achieve motion artifact reduction usi...

The paper focuses on the Enhanced Augmented Lagrangian method with sparse regularization for image deblurring. The method suggested by ALTERNATING LOW RANK AUGMENTED LAGRANGIAN WITH ITERATIVE A PRIOR is novel in the following ways. (i) Faster convergence leading to speeder execution through rank regulations (ii) using derivatives and low rank toget...

In this paper, we explore the analysis of optical lens systems by using diffraction-based image synthesis. The resolution and strong contrast are the major characteristics of the image produced from the high-quality optical lens system. To check the image’s quality using the PSF, Image Simulation (IMS) method with a fast Fourier transform convoluti...

Ophthalmologists generally use retinal fundus images to identify certain retinal diseases. However, fundus cameras frequently fail to capture high-quality retinal images due to improper camera settings, eye movement, uneven illumination, and pupil dilation that affect the diagnosis’s reliability. To enhance the fundus image’s visual clarity, we pro...

Using up one’s fridge’s contents often requires touch creativity, which is typically hard to come by in a very busy world. This aim is to style a model that may scan the things in one’s fridge and recommend recipes that supported what one has got, even taking one’s preferences and dietary restrictions under consideration. Computers are commencing t...

For the identification of retinal diseases, optical images from the low power microscopic fundus camera have been used extensively by ophthalmologists. Uneven lighting and poor image contrast, however, may lead to reduced image quality, making it hard for ophthalmologists to analyze the diseases and can also lead to misinterpretation. This paper pr...

Fundus images are broadly used by medical ophthalmologists to detect and assess any customary abnormalities. Fundus imaging sensors capture the eye's rigid portion, which characteristically covers the core, tangential retina, optic disc, and macula. Existing state‐of‐the‐art fundus sensors have the drawback of producing low contrast and noisy infor...

This paper proposes a smart, automated heart health-monitoring (SAHM) device using a single photoplethysmography (PPG) sensor that can monitor cardiac health. The SAHM uses an Orthogonal Matching Pursuit (OMP)-based classifier along with low-rank motion artifact removal as a pre-processing stage. Major contributions of the proposed SAHM device over...

Super Resolution based Sparse Representation has as of late demonstrated to perform well for picture rebuilding and deblurring. The proposed approach begins with the sparsest conceivable framework and step by step works its away upwards during deblurring. Reciprocal Filter is utilized for edge safeguarding. Ringing curios can be smothered in the ba...

Precise heart rate (HR) estimation of individuals during physical exercise from PPG sensors using direct methods often produces erroneous output due to the occurrence of exceedingly high motion artifacts (MAs). The effect of MAs can be neutralized using non-direct algorithms such as optimization techniques using some a priori about MA. In this pa...

In this paper, we depict a methodology for the programmed methodology order in picture recovery assignment. Methodology is a key feature in picture recovery. as a client like clinicians have demonstrated that methodology is a standout amongst the most essential channel that they might want to constrain their inquiry likely inspired by just a single...

The Pictures acquired from submerged for the most part are corrupted because of the natural conditions (Under the water). A portion of the commonplace debasement factor incorporates turbidity, colour shading corruption. these debasement can be credited because of the turbidity, absorptive and dispersing properties of submerged corruption regarding...

Presents information on various CES Society chapters.

Images obtained from underwater are usually degraded due to the environmental conditions. Some of the typical degradation factors include turbidity and color degradation. These degradations can be attributed to the absorptive and scattering properties of underwater degradation in terms of optical parameters, such as modulation transfer function (MT...

Image Inverse problem or ill-posed problem has been tackled by various researchers in a number of ways. The number of unknown parameters as well as the properties of the parameters makes the problem very challenging. Majority of the research has been focused on using image properties and any prior knowledge of the bwr or degradation phenomenon. The...

Multichannel blind deconvolution is an ill posed problem where regularizers plays an important role. Adaptive regularization is used to obtain better quality restored image. This adds penalty weighted term along with image regularizer. The Isotropic TV image regularizers have chosen along with directional priors which preserves the over smoothing o...

Sparse representation is one of the powerful emerging statistical techniques for modeling images. This representation approximates the image as a combination of the codewords within a dictionary which is over complete. Recent years have seen a tremendous growth in the field of sparse representation. Here a method is proposed for image inversing by...

This paper presents a robust background generation method using a modified mixture of Gaussian model. Traditional background generation methods become unstable when the camera viewpoint suddenly changes. To solve this problem, the proposed method robustly extracts the background by mixing multiple Gaussian models.

In this paper, an adaptive video restoration method is presented for removing spatially-varying blur using truncated constrained least-squared (TCLS) filter. The proposed method consists of two modules: i) spatially-varying blur estimation based on blur map optimization in temporally adjacent frames and ii) adaptive image restoration using TCLS fil...

This paper presents a robust sub-pixel image registration algorithm by analyzing intensity variation of local features. The proposed method consists of three steps: i) global image registration using features analysis, ii) local image registration using phase correlation, and iii) sub-pixel image translation. It can register two images without mis-...

An automatic top-view transformation method is presented for a vehicle backup rear-view camera. The proposed method consists of two steps: i) automatic corresponding points estimation based on the lens specification and ii) view transformation based on the direct linear transform algorithm. Major contribution of this work is automatic view transfor...

A digital image usually has 8 bits of depth basically representing pixel intensity ranging for [0 255]. These pixel ranges allow 256 step levels of pixel values in the image. Thus the grayscale value for a given image is an integer. When we carry out interpolation of a given image for down sampling we have to round the interpolated value to integer...

Recently, the digital cinema distribution chain has added an additional path for showing old, damaged films using proper restoration. Old films, which were acquired by low-quality cameras and stored in poor conditions, tend to have many defects compared with movies made with modern digital works. This paper presents a set of image-processing algori...

This study presents a new approach to classify human body poses by using angular constraints and variations of body joints. Although different classifications of the poses have been previously made, the proposed approach attempts to create a more comprehensive, accurate and extensible classification by integrating all possible poses based on angles...

A multiple color-filter aperture (MCA) can provide a single camera with depth information and multifocusing. However, the original version of the MCA system exhibits inherent limitations such as manual, empirical tuning parameters for the color channel registration and fusion (CRF) process. Furthermore, a CRF output image still contains undesired o...

A novel, efficient white balancing technique is presented for images illuminated by multiple light sources. The existing portable two-dimensional grey reference colour chart has been replaced by a portable three-dimensional (3D) grey sphere to deal with multiple illuminant sources in the 3D real world. Experiments indicate that the proposed solutio...

We present a novel image restoration approach by fusing multiple images acquired by a multiple color aperture computational camera for overcoming the limit of conventional image restoration algorithms, such as high computational load and post-processing artifacts. The proposed restoration framework utilizes color matching, alignment, and fusion of...

Most of the focusing techniques need to estimate depth information for ensuring that the object of interest is at an appropriate distance for full frontal focus. Computational cameras which can variably focus different regions of the scene with large depth of field have been proposed. In this paper we propose a full auto-focusing algorithm using co...

In this article the authors propose a color correction system for images illuminated by multiple light sources. The proposed system can generate an illumination-invariant image under various light sources. Such illumination-invariant image acquisition becomes possible by adopting a user-defined profile connection space (UD-PCS) that generates custo...

A digital image usually has 8 bits of depth basically representing pixel intensity ranging for [0 255]. These pixel range allow 256 step levels of pixel values in the image. Thus the greyscale value for a given image is an integer. When we carry out interpolation of a given image for resizing we have to round the interpolated value to integer which...

This paper proposes a novel color shift model-based segmentation and fusion algorithm for digital autofocusing of color Images. The source images are obtained using new multiple filter-aperture configurations. We shift color channels to change the focal point of the given image at different locations. For each respective location we then select the...

This paper proposes a novel digital auto-focusing algorithm using image fusion, which restores an image with out-of-focus objects. Instead of designing an image restoration filter for auto-focusing, we propose an image fusion-based auto-focusing algorithm by fusing multiple, restored images based on regularized iterative restoration. The proposed a...

Active Shape Model (ASM) paradigm is a popular method for image segmentation where a priori information about the shape of the object of interest is available. The effectiveness of the method is contingent upon a correct correspondence between model points and the features extracted from the image. Extensive application of these models soon reveale...

This paper proposes a novel digital auto-focusing algorithm using image fusion, which restores an out-of-focus image with multiple, differently out-of-focus objects. The proposed auto-focusing algorithm consists of (i) building a prior set of point spread functions (PSFs), (ii) image restoration, and (iii) fusion of the restored images. Instead of...

This paper presents a method for fusing multiple images of a static scene and shows how to apply the proposed method to extend depth of field. Pattern selective image fusion provides a mechanism for combining multiple monochromatic images through identifying salient features in the source images and combining those features in to a single fused ima...

Noise reduction gradually becomes one of the most important features in consumer cameras. The video signal is easily interfered by noise during acquisition process especially in low light environment. Many of the state-of-the-art filters for noise reduction perform-well for high contrast images. However, for low light images, the filter performance...

Noise reduction especially in low light level images is an important feature in consumer cameras. Existing methods to reduce such noise often degrade image quality due to an improper choice of filters. We present a high quality, low-cost noise reduction filter for enhancing low light level images. The proposed algorithm is simple, effective and com...