Rajiv Sharma

A novel method of multimodal medical image fusion using fuzzy transform

A multimodal medical image fusion method using fuzzy transform is proposed.Combination of entropy and select maxima based rule is used to perform fusion.Fused image obtained using proposed method preserves all important, relevant and interrelated information contained in input images.Fused image obtained using proposed method facilitates quick diagnosis and better treatment of diseases. Combined analysis of medical images obtained from multiple imaging modalities is extensively used by clinical professionals for quick diagnosis and treatment of critical diseases. Therefore, multimodal medical image fusion, that fuses information from different medical images into a single fused image, have gained potential interest of researchers in recent years. In this paper, a novel method of multimodal medical image fusion using fuzzy-transform (FTR) is proposed. FTR based fusion helps in preservation as well as effective transfer of detailed information present in input images into a fused image. To evaluate and prove better performance of the proposed fusion method, a number of experiments and comparisons with other existing methods of fusion have been carried out in this paper. Experimental results and comparative analysis prove that the proposed fusion algorithm is effective and generates better results.

Analytical modeling of drain current and RF performance for double-gate fully depleted nanoscale SOI MOSFETs

A new 2D analytical drain current model is presented for symmetric double-gate fully depleted nanoscale SOI MOSFETs. Investigation of device parameters like transconductance for double-gate fully depleted nanoscale SOI MOSFETs is also carried out. Finally this work is concluded by modeling the cut-off frequency, which is one of the main figures of merit for analog/RF performance for double-gate fully depleted nanoscale SOI MOSFETs. The results of the modeling are compared with those obtained by a 2D ATLAS device simulator to verify the accuracy of the proposed model.

An improved multimodal medical image fusion algorithm based on fuzzy transform

Abstract Multimodal medical image fusion has become a powerful tool in clinical applications. The main aim is to fuse different multimodal medical images, obtained from different imaging modalities, into a single fused image that is extensively used by the physicians for explicit diagnosis and treatment of diseases. In this paper, an improved multimodal medical image fusion algorithm based on fuzzy transform (FTR) is proposed. The core idea behind the proposed algorithm is to improve the performance of multimodal medical image fusion algorithm by taking into consideration the error images obtained using FTR pair. Subjective as well as objective evaluations demonstrate that the fusion quality in terms of edge strength, standard deviation, feature mutual information, fusion factor, feature similarity and structural similarity has significantly improved in the proposed algorithm as compared to other state-of-art multimodal medical image fusion algorithms.

Performance analysis of SiGe double-gate N-MOSFET

The major purpose of this paper is to find an alternative configuration that not only minimizes the limitations of single-gate (SG) MOSFETs but also provides the better replacement for future technology. In this paper, the electrical characteristics of SiGe double-gate N-MOSFET are demonstrated and compared with electrical characteristics of Si double-gate N-MOSFET. Furthermore, in this paper the electrical characteristics of Si double-gate N-MOSFET are demonstrated and compared with electrical characteristics of Si single-gate N-MOSFET. The simulations are carried out for the device at different operational voltages using Cogenda Visual TCAD tool. Moreover, we have designed its structure and studied both I d - V g characteristics for different voltages namely 0.05, 0.1, 0.5, 0.8, 1 and 1.5 V and I d - V d characteristics for different voltages namely 0.1, 0.5, 1 and 1.5 V at work functions 4.5, 4.6 and 4.8 eV for this structure. The performance parameters investigated in this paper are threshold voltage, DIBL, subthreshold slope, GIDL, volume inversion and MMCR.

Fuzzy Transform-Based Fusion of Multiple Images

Extensive development has taken place in the field of image fusion and various algorithms of image fusion have attracted the attention of many researchers in the recent past. Various algorithms of image fusion are used to combine information from multiple source images into a single fused image. In this paper, fusion of multiple images using fuzzy transform is proposed. Images to be fused are initially decomposed into same size blocks. These blocks are then fuzzy transformed and fused using maxima coefficient value-based fusion rule. Finally, the fused image is obtained by performing inverse fuzzy transform. The performance of the proposed algorithm is evaluated by performing experiments on multifocus, medical and visible/infrared images. Further, the performance of the proposed algorithm is compared with the state-of-the-art image fusion algorithms, both subjectively and objectively. Experimental results and comparative study show that the proposed fusion algorithm fuses the multiple images effectively and produces better fusion results for medical and visible/infrared images.

Fusion of visible and infrared images in HSV color space

Multiple images taken from different imaging devices are required to be combined together to obtain a single fused image that provides an enhanced representation of an observed scene. The images obtained from imaging devices having different modalities usually provide complementary information. For instance, visible and infrared (IR) images provide complementary information of an object or a scene. Visible images provide the outline of an object or a scene whereas infrared images provide information of some special effects such as hidden objects or persons. Further, color image processing is also gaining importance in most of the real-life applications as color images provide better visual information and are highly suitable for human visual perception. Thus, fusion of visible and infrared images in HSV color space is proposed in the paper. Visual evaluations and objective comparisons on different datasets of visible and infrared images show that the proposed algorithm can effectively combine the information contained in input images and therefore can be successfully utilized in surveillance, military and many other real-life applications.

Design, Simulation and Analysis of 4 × 1 Mux at 90 nm CMOS Technology

Power and delay are regarded as the most fundamental design constraints that form the basis of comparative analysis of logic style implementation of any arbitrary circuit. Previously published research works and investigations have proposed various low power logic style implementations of 2:1 multiplexer circuits. This paper focuses on the design, simulation and analysis of 4:1 multiplexer circuit using CMOS , CVSL , PTL and dynamic logic styles at 90 nm technology followed by a comparison of the circuit performance w.r.t. power, delay and power-delay product. Further, based on this evaluation of circuit families; it has been shown that transmission gate (CMOS+ ) is the logic style of choice which is most optimized and efficient both in terms of power and speed within 1.6–2.4 V supply voltage range. The circuits have been designed and simulated using BSIM 3V3 90 nm technologies on Tanner EDA tool.

Design, simulation and analysis of energy efficient 1-bit full adder at 90nm CMOS technology for deep submicron levels

Previously published research works have proposed several designs for low power hybrid full adder cells and analyzed their power-delay performance against standard logic styles in various simulation environments. In this paper, a 1-bit energy efficient hybrid full adder cell has been proposed and its performance in terms of power, delay and power-delay product (PDP) has been compared with that of existing full adder cells designed and simulated using different CMOS logic styles. Results have shown that the proposed 12T hybrid full adder cell exhibits least power consumption and propagation delay in the voltage range of 0.8 volts to 2.4 volts. The circuits have been designed and simulated at 90nm BSIM 3v3 technology using Tanner EDA tool.