Binary Morphology With Image Compression And Cryptography

Vol.4  No.1

Year: 2013

Issue: Sep-Nov

Title : Binary Morphology With Image Compression And Cryptography

Author Name : Ponshankar B, Swaranambigai.R

Synopsis :

Ponshankar and his co-author Swaranambigaidesigned a Mathematical Morphology (MM) method for binary images, and extended thatfor applying to many different image representations.The stall-free low-complexity architecture has been proposed for taking advantage of the morphological duality principle and Structuring Element (SE) decomposition. The simulation results are more convenient than the mixed grain architectureand providean efficient blind binary image authentication scheme.

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Performance Comparison of Carbon Nanotube, Graphene Nano Ribon and Silicon Nanowire Transistors

Vol.4  No.1

Year: 2013

Issue: Sep-Nov

Title : Performance Comparison of Carbon Nanotube, Graphene Nano Ribon and Silicon Nanowire Transistors

Author Name : S. B. Siddique, T. M. Faruki , B.C. Sarkar , Md. Mahmudul Hasan

Synopsis :

Siddique et.alanalyzed the performance potential of ballistic CNT, Graphene and Silicon Nanowire(SiNW) field effect transistors for future high-performance applications. The simulation is carried out on single sub-band top of the barrier model and the common off-current value is set as 10nA.The result shows that the CNT transistor is a good amplifier and the transconductance is high compared to GNR and SiNW transistors by showing higher frequency performance and higher transconductance.

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Performance Analysis of Low-Density Parity-Check Codes for M-QAM Systems

Vol.4  No.1

Year: 2013

Issue: Sep-Nov

Title : Performance Analysis of Low-Density Parity-Check Codes for M-QAM Systems

Author Name : HIRALD DWARAKA PRAVEENA, C.Subhas , padmaja nimmagadda

Synopsis :

Hirald Dwaraka Praveena et.al proposed a M-QAM scheme for achieving spectral efficiency of high order modulation. For low complexity decoding, low cost and low bit-error rate LDPC (Low-Density Parity-Check) codes are chosen using encoding and decoding methods. Error Correcting Codes (ECCs) are determined for detecting and correcting errors for increasing the system throughput, speed and reducing power consumption. The simulated results are more reliable compared to Turbo codes.

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A Survey Of New Reconfigurable Architectures For Implementing FIR Filters With Low Complexity

Vol.4  No.1

Year: 2013

Issue: Sep-Nov

Title : A Survey Of New Reconfigurable Architectures For Implementing FIR Filters With Low Complexity

Author Name : sandhiya vijayakumar, S. Karthick , M.Valarmathy

Synopsis :

Sandhiya et.al developed CSM and PSM approaches for implementing reconfigurable higher order filters with low complexity. Greedy CSE (Common Subexpression Elimination) algorithm is applied for achieving reduction in complexity. Binary based fir filter gives 33% better reduction than CSD based CSE method. Finally, mentorgraphics tool and Xilinx(synthesis) are used to simulate and compare the results of CSD and Binary based CSE, greedy, VCSE and HCSE techniques for finding the best one adder reduction method in low complexity FIR filter.

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Performance Comparison of Various Speckle noise Removal Filters for Ultrasound Images

Vol.3 No.4

Year : 2013

Issue: Jun-Aug

Title : Performance Comparison of Various Speckle noise Removal Filters for Ultrasound Images

Author Name : P. Nirmaladevi, R.Asokan , S.Govindaraj , S.Usha

Synopsis :

In this paper, we propose a wavelet denoising algorithm based on adaptive wavelet thresholding technique for ultrasound images. The adaptive wavelet thresholding is a Bayesian frame work and wavelet coefficients are assumed to be General Gaussian Distribution function (GGD). The proposed algorithm performs better when compared with other shrinking technique like Visu shrink, Level shrink, and Sure shrink. This approach preserves edges and also the computational complexity is less. The image quality is measured using Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Universal Quality Index (UQI).

Certain Investigation On Fully Automated Method To Segment And Measure The Volume Of Pleura Effusion On Ct Images

Vol.3 No.4

Year : 2013

Issue: Jun-Aug

Title : Certain Investigation On Fully Automated Method To Segment And Measure The Volume Of Pleura Effusion On Ct Images

Author Name : Punitha.M, Vijaykumar.J

Synopsis :

A pleural effusion is an abnormal amount of fluid around the lung. Pleural effusions can result from many medical conditions. Most pleural effusions are not serious by themselves, but some require treatment to avoid problems. The pleura is a thin membrane that lines the surface of the lungs and the inside of the chest wall outside the lungs. In pleural effusions, fluid accumulates in the space between the layers of pleura. Normally, only teaspoons of watery fluid are present in the pleural space, allowing the lungs to move smoothly within the chest cavity during breathing. Pleural effusion is an important biomarker for the diagnosis of many diseases. To develop an automated method to evaluate pleural effusion on CT scans, the measurement of which is prohibitively time consuming when performed manually. The method is based on parietal and visceral pleura extraction, active contour models, region growing. To take 2D gray scale image as input and segment the PE by using region growing method.

Detection of Unsupervised Changes in a Multi-temporal remote sensing Image

Vol.3 No.4

Year : 2013

Issue: Jun-Aug

Title : Detection of Unsupervised Changes in a Multi-temporal remote sensing Image

Author Name : G.Kowsalya, T.K.Revathi

Synopsis :

Detecting of different kinds of changes in multitemporal remote sensing images. Two Multitemporal images, acquired over the same area at different times, are independently classified and land-cover transitions are estimated according to a pixel-by-pixel comparison. Unsupervised methods available in preceding pixel-by-pixel comparison methods are not effective in handling the images. In many real applications, it fails to collect ground truth information for multitemporal images and also loss of change information should takes place. To overcome the unsupervised framework is designed for detecting the changes in remote sensing images. Two different data sets having different property representations allow to easily display and understand changed information. Here, the information about multiple kinds of changes can be preserved as well as it is easy to visualize those images. It makes the process a better one in detecting maximum number of changes from the multi temporal image. The plan is to exploit the potentialities of the proposed technique in the context of more complex approaches to change detection like those exploit multi scale/multiresolution information intrinsically present in VHR images and the ones robust to registration noise.