Dr.B.B.S Kumar - Academia.edu (original) (raw)

Papers by Dr.B.B.S Kumar

Research paper thumbnail of Edge Detection Segmentation with Noise Using Sevenlets Wavelet Technique

Bulletin For Technology And History Journal, 2023

In this research, edge detection segmented output image corrupted with noise has examined using S... more In this research, edge detection segmented output image corrupted with noise has examined using Sevenlets wavelet technique, the analysis is outlined using the methodology by 2-D DWT processed for compression and denoising. The Median adaptive spatial filter used to reduce the noise having features of nonlinear, operators were Sobel, Prewitt, Roberts Canny, and LoG are efficient to find sharp edges are sensitive to noise, and decomposition level and hard thresholding for image analysis have employed for compression rates and image clarity. The measuring parameters for image quality improvement have used CR, RE, PSNR, MSE. Primary task to test functionality of wavelets technique to obtain better image quality when the noise is added and reducing noise level.

Research paper thumbnail of Triple Image Compression and Denoising using Wavelet Technique

GIS Science Journal, 2023

In this research, methods during denoising when noise as introduced, the image quality variance a... more In this research, methods during denoising when noise as introduced, the image quality variance at Haar and Daubechies wavelets have examined. The purpose is to improve the compression ratio, retain energy, and reduce the compression image size, higher PSNR, lower MSE, and space-saving storage of an image to be reduced or minimized of jpeg format using usual standard medical images. Achieved better results for triple compression and denoising when the density of 10% noise as added, the noise like gaussian-The work's scope involves-Compression and Denoising of comparative analysis using the 2D-DWT technique and spatial filters the median and wiener using wavelets as used for noise reduction and to minimize the blurring of an image. The research results are the percentage of energy retaining, compressed size, PSNR, MSE, CR, and space savings.

Research paper thumbnail of Triple Image Compression and Denoising using Wavelet Technique

Gis Science Journal, 2023

In this research, methods during denoising when noise as introduced, the image quality variance a... more In this research, methods during denoising when noise as introduced, the image quality variance at Haar and Daubechies wavelets have examined. The purpose is to improve the compression ratio, retain energy, and reduce the compression image size, higher PSNR, lower MSE, and space-saving storage of an image to be reduced or minimized of jpeg format using usual standard medical images. Achieved better results for triple compression and denoising when the density of 10% noise as added, the noise like gaussian-The work's scope involves-Compression and Denoising of comparative analysis using the 2D-DWT technique and spatial filters the median and wiener using wavelets as used for noise reduction and to minimize the blurring of an image. The research results are the percentage of energy retaining, compressed size, PSNR, MSE, CR, and space savings.

Research paper thumbnail of Status Tracking In Industries Using ARM CORTEX M3 by CAN Protocol

International Journal of Advance Research and Innovative Ideas in Education, 2015

It these days automation in industry’s increased rapidly. For safety purpose and to reduce man po... more It these days automation in industry’s increased rapidly. For safety purpose and to reduce man power in industries, most of the industries are adapting automation. Some automation is fully automatic and some require human control on automation. To provide automation integrating large number of sensor or electronics component in industry plant, In this paper, an intelligent information network called as Controlled area network (CAN) is used to make the system cost effective and efficient for industrial automation. It is a serial bus protocol to connect control system to sensors as an alternative to conventional multi-wire looms. The proposed system is capable of monitoring the number of units manufactured by different machines or manufacturing stations using RFID authentication

Research paper thumbnail of Image Compression and De-noising using Discrete

The main objective is to examine the still image format lossy compression and de-noising using Di... more The main objective is to examine the still image format lossy compression and de-noising using Discrete Meyer Wavelet Technique. The compression and de-noising is implemented in software using MATLAB2012b version Wavelet Toolbox and 2-D DWT technique. The purpose is to analyze compression and de- noising using wavelet family such as Discrete Meyer. The experiments and simulation is carried out on image .jpg formats.

Research paper thumbnail of Brain Tumor Image Edge & Watershed Segmentation and Denoising Using DWT

Image segmentation is a mechanism used to divide an image into multiple segments. It will make im... more Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation process also helps to find region of interest in a particular image. The main goal is to make image more simple and meaningful. Existing segmentation techniques can’t satisfy all type of images. The scope of the paper is to evaluate the brain tumor image quality edge & watershed segmentation technique by DWT, implemented using MATLAB and simulation carried out on using jpeg image format. To identify tumor from the brain of effected area using edge watershed segmentation then applied to DWT to get good quality image. This paper introduces an efficient detection of brain tumor from cerebral MRI images. The methodology consists of three steps: edge segmentation, watershed segmentation and denoising by DWT. The Wavelet Transform applied in the segmentation process to decompose MRI image, to find the quality of an image by calculating PSNR and MSE...

Research paper thumbnail of A mixture of Noise Image Denoising using Sevenlets Wavelet Techniques

Research paper thumbnail of Hybrid Robust Watermarking Technique Based on DWT, DCT and SVD

In this paper, we propose a hybrid watermarking scheme for digital images based on singular value... more In this paper, we propose a hybrid watermarking scheme for digital images based on singular value decomposition (SVD). The two key aspects of watermarking schemes are copyright protected and robustness. In this, we are embedded the principal components of the watermark in the DCT domain of DWT subband of host image, for providing copyright protection as well as reliability. Since Scaling factor is an image dependent. Experimental results are provided to illustrate that the proposed scheme is able to withstand a variety of image processing attacks as well as imperceptibility.

Research paper thumbnail of Medical Image Lossy Compression using DWT Technique

Image compression is minimizing the size in bytes of a graphics file without degrading the qualit... more Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Existing compression techniques can't satisfy all type of images. The scope of the paper is to evaluate the Medical Image Compression & Denoising using DWT technique, PSNR & MSE, implemented using MATLAB and simulation carried out on using jpeg image format. The lossy image compression technique for a medical images which is used at the lower bit rates, and then applied to DWT to obtain good quality image. PSNR and MSE is used to find image quality.

Research paper thumbnail of Correlative Analysis of EZW and SPIHT Compression Algorithms using Sevenlets Wavelet Technique

The research is carried out to find wavelets in image processing of CT(computerized Tomography) J... more The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR(Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective measure.

Research paper thumbnail of Brain Tumor Image Edge & Watershed Segmentation and Denoising Using DWT

Image segmentation is a mechanism used to divide an image into multiple segments. It will make im... more Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation process also helps to find region of interest in a particular image. The main goal is to make image more simple and meaningful. Existing segmentation techniques can't satisfy all type of images. The scope of the paper is to evaluate the brain tumor image quality edge & watershed segmentation technique by DWT, implemented using MATLAB and simulation carried out on using jpeg image format. To identify tumor from the brain of effected area using edge watershed segmentation then applied to DWT to get good quality image. This paper introduces an efficient detection of brain tumor from cerebral MRI images. The methodology consists of three steps: edge segmentation, watershed segmentation and denoising by DWT. The Wavelet Transform applied in the segmentation process to decompose MRI image, to find the quality of an image by calculating PSNR and MSE. Some of experimental results on brain image show the feasibility and the performance of the proposed approach.

Research paper thumbnail of A mixture of Noise Image Denoising using Sevenlets Wavelet Techniques

The noise has always been present in digital images when coding, image acquisition, transmission ... more The noise has always been present in digital images when coding, image acquisition, transmission and processing steps has often corrupted by noise. Noise is challenging to confiscate from the digital images without the noise model's prior information preserving edges. That is why the assessment of noise models is essential in the revise of image denoising techniques. A novel approach to improve the performance of an image's quality and visual perception must be noise-free. The essential features like edge details should be retained as much as possible due to the increased traffic caused by multimedia information and digitized form of representation of images. This research articulates a brief general fundamental proposal of the noise model. The input image has debased with different noise probability density of Gaussian (G), Speckle (S), Salt and Pepper (SP) noise and a mixture of noise (G + S + SP). The Wavelet technique's methodology using Sevenlets wavelet are Haar, Daubechies, Coiflets, Symlets, Discrete Meyer, Biorthogonal and Reverse Biorthogonal input Lena standard image has decomposed using Discrete Wavelet Transform (DWT). The decomposition process, as accomplished by discriminating the input image with lower and higher image coefficients. Filtering techniques are employed to deplete the noise present in an image. Hence the quantitative investigation of noise model at hard and soft thresholding is analyzed, improving image quality by increasing PSNR and decreasing MSE to have better performance.

Research paper thumbnail of Compression and Denoising-Comparative Analysis from still Images using Wavelet Techniques

With the growth of the multimedia technology over the past decades, the demand for digital inform... more With the growth of the multimedia technology over the past decades, the demand for digital information has increased dramatically. This enormous demand poses difficulties for the current technology to handle. One approach to overcome this problem is to compress the information by removing the redundancies present in it. This is the lossy compression scheme that is often used to compress information such as digital images. The main objective is to investigate the still image format compression and de-noising using different wavelet techniques. The “Compression and Denoising – Comparative Analysis from still Images using Wavelet Techniques” is implemented in software using „MATLAB2012a‟ version Wavelet Toolbox and 2-D DWT technique. The purpose is to analyze still images using different wavelets families such as Haar, Daubechies, Coiflets, Symlets, Discrete Meyer, Biorthogonal and Reverse Biorthogonal. The experiments and simulation is carried out on still image .jpg formats. This wor...

Research paper thumbnail of Correlative Analysis of EZW and SPIHT Compression Algorithms using Sevenlets Wavelet Technique

International Journal of Innovative Technology and Exploring Engineering, 2020

The research is carried out to find wavelets in image processing of CT(computerized Tomography) J... more The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR( Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective m...

Research paper thumbnail of Advanced Communication for Quadriplegia

Accidents are common in all the countries and the affected faces trauma sometimes in the form of ... more Accidents are common in all the countries and the affected faces trauma sometimes in the form of cervical injury, stroke, motor-neural syndrome. One such case is Quadriplegia, wherein the patient suffers from immobility due to the loss of control over his limbs sometimes also resulting in loss of speech leaving behind only the muscle movements of the head as a compliment. Many efforts to help such patients through the use of technology have been found and are in process, one such venture is "Advanced Communication For Quadriplegia''. Work based on embedded and software VB6.0 platform. The main aim of the work is to provide the design and application of an efficient HCI helping a quadriplegic patient to establish an alternative communication path to self and outer world. Providing such a module would increase the quality of life of the patient. Index Terms - Human-Computer-Interface (HCI), Visual Basics(VB), Graphical User Interface(GUI), Global System for Mobile Communi...

Research paper thumbnail of Edge Detection Segmentation with Noise Using Sevenlets Wavelet Technique

Bulletin For Technology And History Journal, 2023

In this research, edge detection segmented output image corrupted with noise has examined using S... more In this research, edge detection segmented output image corrupted with noise has examined using Sevenlets wavelet technique, the analysis is outlined using the methodology by 2-D DWT processed for compression and denoising. The Median adaptive spatial filter used to reduce the noise having features of nonlinear, operators were Sobel, Prewitt, Roberts Canny, and LoG are efficient to find sharp edges are sensitive to noise, and decomposition level and hard thresholding for image analysis have employed for compression rates and image clarity. The measuring parameters for image quality improvement have used CR, RE, PSNR, MSE. Primary task to test functionality of wavelets technique to obtain better image quality when the noise is added and reducing noise level.

Research paper thumbnail of Triple Image Compression and Denoising using Wavelet Technique

GIS Science Journal, 2023

In this research, methods during denoising when noise as introduced, the image quality variance a... more In this research, methods during denoising when noise as introduced, the image quality variance at Haar and Daubechies wavelets have examined. The purpose is to improve the compression ratio, retain energy, and reduce the compression image size, higher PSNR, lower MSE, and space-saving storage of an image to be reduced or minimized of jpeg format using usual standard medical images. Achieved better results for triple compression and denoising when the density of 10% noise as added, the noise like gaussian-The work's scope involves-Compression and Denoising of comparative analysis using the 2D-DWT technique and spatial filters the median and wiener using wavelets as used for noise reduction and to minimize the blurring of an image. The research results are the percentage of energy retaining, compressed size, PSNR, MSE, CR, and space savings.

Research paper thumbnail of Triple Image Compression and Denoising using Wavelet Technique

Gis Science Journal, 2023

In this research, methods during denoising when noise as introduced, the image quality variance a... more In this research, methods during denoising when noise as introduced, the image quality variance at Haar and Daubechies wavelets have examined. The purpose is to improve the compression ratio, retain energy, and reduce the compression image size, higher PSNR, lower MSE, and space-saving storage of an image to be reduced or minimized of jpeg format using usual standard medical images. Achieved better results for triple compression and denoising when the density of 10% noise as added, the noise like gaussian-The work's scope involves-Compression and Denoising of comparative analysis using the 2D-DWT technique and spatial filters the median and wiener using wavelets as used for noise reduction and to minimize the blurring of an image. The research results are the percentage of energy retaining, compressed size, PSNR, MSE, CR, and space savings.

Research paper thumbnail of Status Tracking In Industries Using ARM CORTEX M3 by CAN Protocol

International Journal of Advance Research and Innovative Ideas in Education, 2015

It these days automation in industry’s increased rapidly. For safety purpose and to reduce man po... more It these days automation in industry’s increased rapidly. For safety purpose and to reduce man power in industries, most of the industries are adapting automation. Some automation is fully automatic and some require human control on automation. To provide automation integrating large number of sensor or electronics component in industry plant, In this paper, an intelligent information network called as Controlled area network (CAN) is used to make the system cost effective and efficient for industrial automation. It is a serial bus protocol to connect control system to sensors as an alternative to conventional multi-wire looms. The proposed system is capable of monitoring the number of units manufactured by different machines or manufacturing stations using RFID authentication

Research paper thumbnail of Image Compression and De-noising using Discrete

The main objective is to examine the still image format lossy compression and de-noising using Di... more The main objective is to examine the still image format lossy compression and de-noising using Discrete Meyer Wavelet Technique. The compression and de-noising is implemented in software using MATLAB2012b version Wavelet Toolbox and 2-D DWT technique. The purpose is to analyze compression and de- noising using wavelet family such as Discrete Meyer. The experiments and simulation is carried out on image .jpg formats.

Research paper thumbnail of Brain Tumor Image Edge & Watershed Segmentation and Denoising Using DWT

Image segmentation is a mechanism used to divide an image into multiple segments. It will make im... more Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation process also helps to find region of interest in a particular image. The main goal is to make image more simple and meaningful. Existing segmentation techniques can’t satisfy all type of images. The scope of the paper is to evaluate the brain tumor image quality edge & watershed segmentation technique by DWT, implemented using MATLAB and simulation carried out on using jpeg image format. To identify tumor from the brain of effected area using edge watershed segmentation then applied to DWT to get good quality image. This paper introduces an efficient detection of brain tumor from cerebral MRI images. The methodology consists of three steps: edge segmentation, watershed segmentation and denoising by DWT. The Wavelet Transform applied in the segmentation process to decompose MRI image, to find the quality of an image by calculating PSNR and MSE...

Research paper thumbnail of A mixture of Noise Image Denoising using Sevenlets Wavelet Techniques

Research paper thumbnail of Hybrid Robust Watermarking Technique Based on DWT, DCT and SVD

In this paper, we propose a hybrid watermarking scheme for digital images based on singular value... more In this paper, we propose a hybrid watermarking scheme for digital images based on singular value decomposition (SVD). The two key aspects of watermarking schemes are copyright protected and robustness. In this, we are embedded the principal components of the watermark in the DCT domain of DWT subband of host image, for providing copyright protection as well as reliability. Since Scaling factor is an image dependent. Experimental results are provided to illustrate that the proposed scheme is able to withstand a variety of image processing attacks as well as imperceptibility.

Research paper thumbnail of Medical Image Lossy Compression using DWT Technique

Image compression is minimizing the size in bytes of a graphics file without degrading the qualit... more Image compression is minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. Existing compression techniques can't satisfy all type of images. The scope of the paper is to evaluate the Medical Image Compression & Denoising using DWT technique, PSNR & MSE, implemented using MATLAB and simulation carried out on using jpeg image format. The lossy image compression technique for a medical images which is used at the lower bit rates, and then applied to DWT to obtain good quality image. PSNR and MSE is used to find image quality.

Research paper thumbnail of Correlative Analysis of EZW and SPIHT Compression Algorithms using Sevenlets Wavelet Technique

The research is carried out to find wavelets in image processing of CT(computerized Tomography) J... more The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR(Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective measure.

Research paper thumbnail of Brain Tumor Image Edge & Watershed Segmentation and Denoising Using DWT

Image segmentation is a mechanism used to divide an image into multiple segments. It will make im... more Image segmentation is a mechanism used to divide an image into multiple segments. It will make image smooth and easy to evaluate. Segmentation process also helps to find region of interest in a particular image. The main goal is to make image more simple and meaningful. Existing segmentation techniques can't satisfy all type of images. The scope of the paper is to evaluate the brain tumor image quality edge & watershed segmentation technique by DWT, implemented using MATLAB and simulation carried out on using jpeg image format. To identify tumor from the brain of effected area using edge watershed segmentation then applied to DWT to get good quality image. This paper introduces an efficient detection of brain tumor from cerebral MRI images. The methodology consists of three steps: edge segmentation, watershed segmentation and denoising by DWT. The Wavelet Transform applied in the segmentation process to decompose MRI image, to find the quality of an image by calculating PSNR and MSE. Some of experimental results on brain image show the feasibility and the performance of the proposed approach.

Research paper thumbnail of A mixture of Noise Image Denoising using Sevenlets Wavelet Techniques

The noise has always been present in digital images when coding, image acquisition, transmission ... more The noise has always been present in digital images when coding, image acquisition, transmission and processing steps has often corrupted by noise. Noise is challenging to confiscate from the digital images without the noise model's prior information preserving edges. That is why the assessment of noise models is essential in the revise of image denoising techniques. A novel approach to improve the performance of an image's quality and visual perception must be noise-free. The essential features like edge details should be retained as much as possible due to the increased traffic caused by multimedia information and digitized form of representation of images. This research articulates a brief general fundamental proposal of the noise model. The input image has debased with different noise probability density of Gaussian (G), Speckle (S), Salt and Pepper (SP) noise and a mixture of noise (G + S + SP). The Wavelet technique's methodology using Sevenlets wavelet are Haar, Daubechies, Coiflets, Symlets, Discrete Meyer, Biorthogonal and Reverse Biorthogonal input Lena standard image has decomposed using Discrete Wavelet Transform (DWT). The decomposition process, as accomplished by discriminating the input image with lower and higher image coefficients. Filtering techniques are employed to deplete the noise present in an image. Hence the quantitative investigation of noise model at hard and soft thresholding is analyzed, improving image quality by increasing PSNR and decreasing MSE to have better performance.

Research paper thumbnail of Compression and Denoising-Comparative Analysis from still Images using Wavelet Techniques

With the growth of the multimedia technology over the past decades, the demand for digital inform... more With the growth of the multimedia technology over the past decades, the demand for digital information has increased dramatically. This enormous demand poses difficulties for the current technology to handle. One approach to overcome this problem is to compress the information by removing the redundancies present in it. This is the lossy compression scheme that is often used to compress information such as digital images. The main objective is to investigate the still image format compression and de-noising using different wavelet techniques. The “Compression and Denoising – Comparative Analysis from still Images using Wavelet Techniques” is implemented in software using „MATLAB2012a‟ version Wavelet Toolbox and 2-D DWT technique. The purpose is to analyze still images using different wavelets families such as Haar, Daubechies, Coiflets, Symlets, Discrete Meyer, Biorthogonal and Reverse Biorthogonal. The experiments and simulation is carried out on still image .jpg formats. This wor...

Research paper thumbnail of Correlative Analysis of EZW and SPIHT Compression Algorithms using Sevenlets Wavelet Technique

International Journal of Innovative Technology and Exploring Engineering, 2020

The research is carried out to find wavelets in image processing of CT(computerized Tomography) J... more The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR( Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective m...

Research paper thumbnail of Advanced Communication for Quadriplegia

Accidents are common in all the countries and the affected faces trauma sometimes in the form of ... more Accidents are common in all the countries and the affected faces trauma sometimes in the form of cervical injury, stroke, motor-neural syndrome. One such case is Quadriplegia, wherein the patient suffers from immobility due to the loss of control over his limbs sometimes also resulting in loss of speech leaving behind only the muscle movements of the head as a compliment. Many efforts to help such patients through the use of technology have been found and are in process, one such venture is "Advanced Communication For Quadriplegia''. Work based on embedded and software VB6.0 platform. The main aim of the work is to provide the design and application of an efficient HCI helping a quadriplegic patient to establish an alternative communication path to self and outer world. Providing such a module would increase the quality of life of the patient. Index Terms - Human-Computer-Interface (HCI), Visual Basics(VB), Graphical User Interface(GUI), Global System for Mobile Communi...