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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.


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.


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.

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