Shri Ramswaroop Memorial Group of Professional Colleges

Lucknow, India

Shri Ramswaroop Memorial Group of Professional Colleges

Lucknow, India
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Gupta P.,Shri Ramswaroop Memorial Group of Professional Colleges | Srivastava P.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhardwaj S.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Advances in Intelligent and Soft Computing | Year: 2012

This paper presents a new full reference image quality index for objective evaluation of color images in perceptually consistent manner with Human Visual System (HVS) characteristics. The quality index proposed in this paper evaluates the image quality across various types of distortions like: noise contamination, blurring, contrast stretching and compression; by considering the image degradations in terms of error, edge distortion, structural distortion, correlation degree and luminance. Simulation results obtained for the proposed quality index are subjectively validated using Mean Opinion Score (MOS) which ensures the capability and efficiency of the proposed index in evaluating color images according to the HVS characteristics. © 2012 Springer-Verlag GmbH Berlin Heidelberg.


Verma R.,Shri Ramswaroop Memorial Group of Professional Colleges | Mehrotra R.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Advances in Intelligent Systems and Computing | Year: 2013

Testing and analysis of Electrocardiogram (ECG) signals is one of the major requirements for clinical diagnosis of cardiovascular diseases and deciding future therapies. ECG being a weak non-stationary signal is often interfered by impulse noise as well as baseline drift. This paper presents an improved morphological algorithm for suppression of ailments posed by the above mentioned distortions using non-flat structuring element. Dimensions of the structuring element are optimally selected in a manner to achieve lower distortion rates. Simulation results show significant improvement in baseline correction and noise removal (yielding lower values of error indices and high signal to noise ratios) in comparison to other methods. © 2013 Springer-Verlag.


Trivedi M.,Shri Ramswaroop Memorial Group of Professional Colleges | Jaiswal A.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Advances in Intelligent Systems and Computing | Year: 2013

With the introduction of more complex enhancement algorithms, there is a need for an effective method of enhancement measurement that can assess image quality in accordance with Human Visual System (HVS) characteristics. This paper presents a new quality index for measurement of contrast in digital images based on Logarithmic Image Processing (LIP) model. The proposed quality index evaluates the degree of contrast manipulation (provided by an enhancement algorithm) by considering the difference in the average gray level values in its foreground to that of background. The calculated statistical parameters for foreground and background regions are mathematically combined using the LIP operators to ensure processing of images from HVS point of view. The quality index is computed for different contrast manipulating algorithms which are applied to test images taken from standard MATLAB library as well as LIVE Database. Simulation results illustrate the precision and efficiency of the proposed index in comparison to other contrast evaluation methods proposed in literature. © 2013 Springer-Verlag.


Gupta A.,Shri Ramswaroop Memorial Group of Professional Colleges | Tripathi A.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Advances in Intelligent Systems and Computing | Year: 2013

Synthetic Aperture Radar (SAR) is a powerful tool for producing high-resolution images but these images are highly contaminated with speckle noise. This paper proposes an improved Anisotropic Diffusion Algorithm for despeckling SAR images. The proposed algorithm is obtained by using a diffusion coefficient which consists of a combination of first and second order derivative operators. The spatial variation of this diffusion coefficient occurs in such a way that it prefers forward diffusion to backward diffusion resulting in improved structural details and edge preservation. The simulation results also show better computational efficiency in comparison to other denoising techniques. © 2013 Springer-Verlag.


Srivastava A.,Shri Ramswaroop Memorial Group of Professional Colleges | Alankrita,Shri Ramswaroop Memorial Group of Professional Colleges | Raj A.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Communications in Computer and Information Science | Year: 2011

Brain tumor is an abnormal mass of tissue with uncoordinated growth inside the skull which may invade and damage nerves and other healthy tissues. Limitations posed by the image acquisition systems leads to the inaccurate analysis of magnetic resonance images (MRI) even by the skilled neurologists. This paper presents an improved framework for enhancement of cerebral MRI features by incorporating enhancement approaches of both the frequency and spatial domain. The proposed method requires de-noising, enhancement using a non-linear enhancement function in wavelet domain and then iterative enhancement algorithm using the morphological filter for further enhancing the edges is applied. A good enhancement of Region Of Interest(ROI) is obtained with the proposed method which is well portrayed by estimates of three quality metrics. Contrast improvement index (CII), peak signal to noise ratio (PSNR) and average signal to noise ratio (ASNR). © 2011 Springer-Verlag.


Verma R.,Shri Ramswaroop Memorial Group of Professional Colleges | Mehrotra R.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Proceedings of the 2013 3rd IEEE International Advance Computing Conference, IACC 2013 | Year: 2013

Electrocardiogram contains a wealth of diagnostic information normally used to guide clinical decision making for proper diagnosis of cardiovascular diseases disorders. ECG is often contaminated by noises and artifacts that can be within the frequency band of interest and can manifest with similar morphologies as the ECG signal itself. Baseline correction and noise suppression are the two important pre-requisites for conditioning of the ECG signal. This paper presents a novel morphological filtering technique for removing baseline drift using non-flat structuring element. Further, to achieve noise suppression an improved median filtering technique is applied using mask of variable sizes. Depending upon the degree of impulse noise contamination the mask size may vary to a maximum of 1×11. The residual noise left after this stage is then filtered out using morphological filtering. Simulation results show noteworthy improvement in baseline correction and noise filtering in comparison to other proposed morphological filtering based approaches in the literature. © 2013 IEEE.


Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges | Tripathi A.,Shri Ramswaroop Memorial Group of Professional Colleges | Gupta A.,Shri Ramswaroop Memorial Group of Professional Colleges
Advances in Intelligent Systems and Computing | Year: 2014

Synthetic Aperture Radar (SAR) is an active remote sensing system which is utilized for producing high-resolution images. But due to backscattering of microwave signals, these images get contaminated with speckle noise. This paper proposes an improved local statistics filter for filtering the speckle noise from the SAR images. The proposed filter is a combination of mean and hybrid median filters, employing a novel 7x7 filtering template. The performance of the proposed filter is tested against the standard Hybrid Median filters for which the evaluated values show better performs in terms of PSNR (in dB) and SSI. © Springer International Publishing Switzerland 2014.


Trivedi M.,Shri Ramswaroop Memorial Group of Professional Colleges | Jaiswal A.,Shri Ramswaroop Memorial Group of Professional Colleges | Bhateja V.,Shri Ramswaroop Memorial Group of Professional Colleges
Proceedings of the 2013 3rd IEEE International Advance Computing Conference, IACC 2013 | Year: 2013

Image quality evaluation plays a very important role in quantifying the quality of an image. Most of the indices already proposed can quantify only single types of distortions and they are also not very well correlated with Human Visual System (HVS). Contrast and Sharpness are the two parameters on the basis of which the proposed quality index will evaluate the performance of image enhancement algorithms. The degree of contrast will be evaluated by considering the difference in the average gray level values in its foreground to that of background. The calculated statistical parameters for foreground and background regions are mathematically combined using the Logarithmic Image Processing (LIP) operators to ensure processing of images from HVS point of view. Another parameter, sharpness will be calculated using wavelet decomposition method employing Haar transform. Finally, both the parameters will mathematically combine to assess the quality of enhanced image. Simulation results illustrate the precision and efficiency of the proposed quality index in comparison to previously proposed measure for assessing the image enhancement. © 2013 IEEE.


Tripathi S.,Shri Ramswaroop Memorial Group of Professional Colleges | Kumar J.,Shri Ramswaroop Memorial Group of Professional Colleges
Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015 | Year: 2015

Maximum bandwidth of the network is flooded with multimedia messages nowadays. Components of these messages are audio, video and images. Image is the basic unit of these multimedia messages. This paper analyzes textures of various types of images and finds self similarities within the image. Self similarities at various scales are discussed in the paper. These self similarities then form the basis for image compression with fractal approach. © 2015 IEEE.


Kumar J.,Shri Ramswaroop Memorial Group of Professional Colleges | Kumar M.,Shri Ramswaroop Memorial Group of Professional Colleges
Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015 | Year: 2015

Compression mechanisms for image search redundancies in the image data. This redundancy may occur in neighboring pixel values or the pixels found anywhere in the image. Moreover the redundancies may be at pixel level or at block level. There are a number of image compression mechanisms available. The paper compares some of these image compression mechanisms along with some compression parameters and computation time taken for compression on various sample images. © 2015 IEEE.

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