Sudhakar Radhakrishnan

• Ph.D
• Head of Department at Dr. Mahalingam College of Engineering and Technology

Information has become one of the most valuable assets in the modern era. Within the last 5-10 years, the demand for multimedia applications has increased enormously. Like many other recent developments, the materialization of image and video encoding is due to the contribution from major areas like good network access, good amount of fast processo...

Video coding schemes for low bit-rate is of high importance and traditional coding schemes which use block transforms suffer from blocking artefacts. Here we propose a Video Codec based on Wavelet transform and hence performance of the coder is; superior to other block transform based codecs. The Wavelet coefficients are coded using the computation...

Radio frequency (RF) energy harvesting has recently become an effective way of powering wireless devices, reducing the requirement of batteries along with their related storage as well as lifespan restrictions. One of the main obstacles to RF energy harvesting is the limited quantity of energy that can be obtained from wireless sources due to weak...

This paper presents a finger vein biometric system based on convolutional neural networks. Biometric systems are critical for use in forensic and military applications. Finger vein biometrics are more secure than other biometric features because of their uniqueness. The finger vein images are preprocessed using the modified speeded-up adaptive cont...

Recently, biometrics have become more important in military and defence applications. This research implements a multimodal biometric system based on ear and palm vein biometric features. The images of the palm vein and ear that were obtained are of poor quality. The proposed image boosting approach is used to preprocess these low-quality images. I...

The palm vein-based biometric system for person authentication is proposed in this research study. The palm vein biometric features offer better security since the vein pattern is underneath of the skin. Initially, the captured palm vein images are of low quality. The low-quality images are then enhanced by using various image enhancement technique...

In this paper, a compact 2 X 2 MIMO antenna is proposed for 5G wireless applications. The proposed 2 X 2 MIMO antenna is designed using four compact circular monopole antennas which are optimized to operate from 3.6 to 57.7 GHz. The antenna structure consists of four orthogonal antenna elements of size 21 mm × 29 mm, which are spaced 1mm apart from...

Every human being pursues similar circumstances differently and steers them in a disparate manner. Brain activity based on thought detection plays a dominant role while controlling the state of affairs with electroencephalography (EEG) signals. Hence, a comprehensive and specific analysis of EEG signals is mandatory. Brain activity based on thought...

Pre-processing of medical images plays a vibrant part in the field of medicine to detect patient’s disease at an earlier stage. Hospitals and medical centers generate an enormous volume of digital medical images day by day, which is used for several purposes of diagnostic procedures. Because of many images,for secured transmission, image compressio...

The desire for wide bandwidth persists in this era of low latency, which drives research into the high frequency band of the electromagnetic spectrum. There are several hundred gigahertz of bandwidth available above 100 GHz for applications such as super-fast wireless communication devices, material investigation, security, medical scanners, and wi...

Medical image data analysis is a significant data in medical systems to analyze patient's health record. The biomedical image processing techniques and modernization of image devices are enhancing the medical image data. The main advantages of medical imaging data are (i) the medical imaging data are transmitted in the secure network in safe from t...

Liver ultrasound is a cost‐effective, non‐invasive, and sufficient technique to diagnose most of the liver disorders. The recent advancements in research in image processing have led to the development of image‐based liver disorder classification systems. In spite of being popular in the diagnostic imaging of liver, ultrasound images, owing to thei...

In recent times, biometrics is the best alternative for the token-based and knowledge-based security systems. Out of the existing biometric modalities, the vascular biometric modalities are preferred for authenticating the person, because of its uniqueness among all individuals. This paper proposes a multimodal biometric system using vascular patte...

Blind image deblurring of natural images still remains a demanding task. The traditional methods, pre-processes the uniform and non-uniform images with a deblurring algorithm and employs a low-rank prior algorithm. The rich textures do not possess enough similar patches in the deblurring process and this loss results in noisy images. Also, computat...

Vector quantizer block requires additional hardware resources, it was demonstrated that the codebook generated by coding the residual block makes the image codec more robust. This efficient algorithm is mainly based on flipping technique. First, a three level DWT is performed on the original image resulting in ten separate sub bands. These sub band...

In the field of medical imaging, Ultrasonography is a popular and most frequently used diagnostic tool owing to its hazard-free, non–invasive and the cost effective nature. Liver being the largest and vital organ in the human body, liver disorders are treated very important and initial detection of the disorder is made using ultrasound imaging by t...

Multimodal biometric recognition is one of the techniques for recognizing a person with enhanced security, and it utilizes more than one biometric trait. One of the physiological biometric traits is the vein patterns, which are internal features of the body and cannot be simply forged. This chapter proposes a new methodology for biometric authentic...

This study presents a computer-based approach to classify ten different kinds of focal and diffused liver disorders using ultrasound images. The diseased portion is isolated from the ultrasound image by applying active contour segmentation technique. The segmented region is further decomposed into horizontal, vertical and diagonal component images...

This paper proposes a compression scheme for medical images through differential pulse code modulation coding of multi resolution and multidirectional subbands. Multi resolution representation of the medical images are obtained through laplacian pyramid which successfully decorrelates the image and thus reduces the redundant information by represen...

Noise in an image tends to reduce the quality of the image by modifying the contrast and resolution and thereby making the process of extraction of information from the image is a challenging task. Deblurring of images in the presence of noise as it may be impulsive or multiplicative is a challenging task. It is essentially an issue of the trade-of...

Noise in an image tends to reduce the quality of the image by modifying the contrast and resolution and thereby making the process of extraction of information from the image is a challenging task. Deblurring of images in the presence of noise as it may be impulsive or multiplicative is a challenging task. It is essentially an issue of the trade-of...

Carbon nanotubes (CNTs) provide a better alternative of silicon when it comes to nanoscales. Thanks to the high stability and high performance of carbon nanotube, CNT-based FET (CNTFET) devices are gaining popularity of late. They provide high packaging densities. Not much study had been done to analyze the characteristics of CNTFET SRAM in the pre...

The continuous scaling down of circuits has resulted in the development of carbon nanotubes (CNT) which provides a better alternative of silicon. High device packing densities is one of the advantageous factors of CNTFET compared to CMOS technology. This paper describes the new bulk current based built-in current sensor (BBICS) for the detection of...

This research paper focuses on restoring images that are affected by motion blur which corrupts the image during acquisition. Restoration of images is an ill - posed problem in image processing. A model derived from Markov Random Fields (MRF) is proposed to remove blur iteratively followed by best fit selector. Even then the blur components will be...

This research paper proposes a filter to remove Random Valued Impulse Noise (RVIN) based on Global Threshold Vector Outlyingness Ratio (GTVOR) that is applicable for real time image processing. This filter works with the algorithm that breaks the images into various decomposition levels using Discrete Wavelet Transform (DWT) and searches for the no...

Personal identification systems based on biometrics are employed in many applications to enrich the security of person identification systems. A number of biometric traits are used in various applications. Among the different biometric traits, the palm vein images are used for person recognition because of its uniqueness. To improve the recognition...

Vein based multi-modal biometric recognition is becoming an emerging need in order to have better security. Here, we have utilized dorsal and finger vein biometrics present in the hand. After preprocessing, the necessary features are extracted from dorsal vein imagesusing automatic thresholding and from finger vein images using hyper analytic wavel...

Carbon nanotubes (CNT) provide a better alternative of silicon, when it comes to nano scales. Thanks to its high stability and high performance of carbon nanotube, CNT based FET (CNTFET) devices which are gaining popularity of late. Single Event Upset (SEU) in a device is caused due to radiation. Radiation can be through two ways, one due to charge...

Multi-modal biometric recognition utilizes more than one modality for recognition of a person, when compared to the single modality with the help of enhanced security. The vascular patterns are one of the physiological biometrics and internal feature of the body, hence, it cannot be easily cracked, falsified or spoofed. This paper proposes a novel...

Preliminary diagnosis based on ultrasound scanning is the first step in the treatment of many abdominal diseases. The noisy nature of the ultrasound image coupled with minimal contrasting features complicates the task of automatic classification if not impossible. This study presents a segmentation-based approach to automatic classification of ten...

The quality of an image which is scanned from its printed version degrades significantly from its original. This is due to the distortions that arise during the print-scan process. To minimize the distortions such as registration errors, colour distortions, limitations of the print scan channel in representing high spatial frequencies and the addit...

Image enhancement is an effective method to improve the visual appearance of an image or to provide a better transform representation for future automated image processing. Usually the obtained vascular biometric traits from the sensors are of low contrast and nonuniform in nature. The problem of low contrast and nonuniform illumination appearing i...

In multiple-input–multiple-output (MIMO) wireless systems, antenna selection is a methodology of achieving high capacity with less cost. In this paper, three computationally very efficient and simple sub-optimal joint and decoupled transmit/receive antenna selection algorithms are proposed for capacity maximisation of MIMO wireless systems. These a...

Three dimensional (3D) medical images possess some specific characteristics that should be utilized by an efficient compression scheme. In this article, one such compression scheme for volumetric 3D medical image data is presented. Two processes involved in this scheme are decorrelation and encoding. Decorrelation of the 3D data is realized through...

Multi-modal biometric recognition uses more than one biometric identifier to recognise a person. Identification based on multiple templates becomes an emerging need. Multi-modal biometric systems are expected to be more reliable due to the presence of multiple independent pieces of biometric traits. This paper proposes a new approach for biometric...

Carbon nano tube devices are considered as a better replacement for CMOS technology nowadays due to its decreased sizing and increased performance. Resistive open and bridging faults play vital role in the dynamic fault analysis. These faults are important since the number of interconnects have increased. In this study we discuss the effect of open...

The image restoration techniques are directed towards construction of the original image from a degraded observation. The proposed work focuses on the Super Resolution (SR) of digital images.Super Resolution aims to produce a High Resolution (HR) image from the Low Resolution (LR) image. The two LR of same image of same size in different resolution...

This study proposes a compression scheme for volumetric medical images through 3D listless embedded block coding, which is a suitably modified form of SPECK (Set Partitioned Embedded block Coder) algorithm to operate without linked lists and to take into account the high inter band correlation. It is embedded, 3D block based, image wavelet transfor...

In the design of inter-satellite laser communication terminal, the diffraction effects are raised in the optical system, when we operate at the wavelength of 1550nm. This is because of the line of sight stabilization in space domain. In this paper, we designed various cassgrains which operates at aforementioned wavelength to overcome those effects....

In image restoration applications, Sparse representation which is a statistical image modelling technique has been widely used. The image restoration quality depends on sparse representation of the original image. Considering that the contents can vary across different images or different patches in a single image, so we have to study a number of s...

This paper analyses performance of multiwavelets - a variant of wavelet transform on compression of medical images. To do so, two processes namely, transformation for decorrelation and encoding are done. In transformation stage medical images are subjected to multiwavelet transform using multiwavelets such as Geronimo- Hardin-Massopust, Chui Lian,...

Multiple input multiple output (MIMO) wireless systems employ a scheme called antenna subset selection for maximising the data rate or reliability for the prevailing channel conditions with the available or affordable number of radio frequency (RF) chains. In this paper, a low-complexity, and near-optimal performance fast algorithm is formulated an...

Digital image restoration is a field of engineering that deals with methods used to recover an original scene from degraded observations. The goal of this article is to introduce digital image restoration to the reader, who is just beginning in this field, and to provide a review and analysis for the reader who may already be familiar in image rest...

This paper presents segmentation of hemorrhage from the computed tomography image. Fuzzy rule-based technique constituting three parameters namely mean difference, mode difference and grey level intensity is used. These parameters are fuzzified into four fuzzy regions with trapezoidal membership functions. The segmented arbitrary shaped region of i...

In image restoration applications, Sparse representation which is a statistical image modelling technique has been widely used. The image restoration quality depends on sparse representation of the original image. Considering that the contents can vary across different images or different patches in a single image, so we have to study a number of s...

Color Image compression is now essential for applications such as transmission and storage in data bases since color gives a natural and pleasing nature for any object. For still image compression, the `Joint Photographic Experts Group' standard has been established by International Standards Organization (ISO). The performance of existing image co...

In the recent years, with an increase in the awareness of internet usage, there has been an explosion of data on the web. Huge amount of data resides on the web and of late there has been an increased necessity for search engines that retrieve documents and images, at least close to the search criteria if not exactly. The problem of retrieving near...

This issue includes the following articles; P1151044324, Mohamed Y. Eldib and Hoda M. Onsi, "Web Image Mining Age Estimation Framework" P1151026155, V.K.Sudha and R.Sudhakar, "Two Dimensional Medical Image Compression Techniques-A Survey" P1151043322, Sangeeta D. Jadhav and Anjali S.Bhalchandra, "Insight on using non-Evolutionary Optimization Metho...

Advanced medical imaging requires storage of large quantities of digitized clinical data. Due to the constrained bandwidth and storage capacity, a medical image must be compressed before transmission and storage. However, the compression will reduce the image fidelity, especially when the images are compressed at lower bit rates. The reconstructed...

The recent explosion in digital video storage and delivery has presented strong motivation for high performance video compression solutions. An efficient video compression technique must preserve the trade-off between compression ratio and the quality of the video. The performance of existing image and video coding standards generally degrade at lo...

Compression is the process of representing information in a compact form so as to reduce the bit rate for transmission or storage while maintaining acceptable fidelity or data quality. Over the past decade, the success of wavelets in solving many different problems has contributed to its unprecedented popularity. For best performance in image compr...

This paper presents a new coding technique for fingerprint compression, which is based on contourlet transform and Self-Organizing Feature Map (SOFM) vector quantization. One of the main difficulties in developing compression algorithms for fingerprints resides in the need for preserving the minutiae, which are subsequently used in identification....

Video compression takes the advent of spatial, temporal and psycho-visual redundancies. These redundancies can be compensated efficiently by transform, motion estimation/compensation and quantization respectively. The existing video coding standards (MPEG) use block based discrete cosine transform (DCT). In the DCT the input image needs to be block...

Large volumes of fingerprints are collected and stored every day in a wide range of applications, including forensics, access control etc., and is evident from the database of Federal Bureau of Investigation (FBI) which contains more than 70 million finger prints. Wavelet based Algorithms for image compression are the most successful, which result...

Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. New algorithms for image compression based on wavelets have been developed. These methods have resulted in practical advances such as: superior low-bit rate performance, continuous-tone and bit-lev...

Abstact—This paper presents a new fingerprint coding technique based on contourlet transform and multistage vector quantization. Wavelets have shown their ability in representing natural images that contain smooth areas separated with edges. However, wavelets cannot efficiently take advantage of the fact that the edges usually found in fingerprints...

Large volumes of fingerprints are collected and stored every day in a wide range of applications, including forensics, access control etc.,It is evident from the database of Federal Bureau of Investigation (FBI) which contains more than 70 million finger prints. Wavelet based Algorithms for image Compression is most successful in recent years. A ne...