Kavitha K J
@gmit.ac.in
Associate Professor and ECE faculty
GM Institute of technology
RESEARCH INTERESTS
Image, Medical Image, Video, Embedded System
10
Scopus Publications
Scopus Publications
- CNN ensemble approach for early detection of sugarcane diseases – a comparison
K J Kavitha and K Krishna Prasad
Polish Academy of Sciences Chancellery
This paper mainly concentrates and discusses on sugarcane crop, the variety of cane seeds available for sowing; various cane diseases and its early detection using different approaches. Machine Learning (ML) and Deep Learning (DL) techniques are used to analyze agricultural data like temperature, soil quality, yield prediction, selling price forecasts, etc. and avoid crop damage from a variety of sources, including diseases. In the proposed work, with particular reference to eight specific sugarcane crop diseases and including healthy crop database, the neural network algorithms are tested and verified in terms quality metrics like accuracy, F1 score, recall and precision. - Medical image watermarking based on novel encoding for EHR and fusion based morphological watershed segmentation algorithm for medical images
K. J. Kavitha and Priestly B. Shan
Springer Science and Business Media LLC - Compressed Sensing Reconstruction Algorithms for Medical Images – A Comparison
K. J. Kavitha, Vishwaraj B. Manur, P. G. Suprith, Mahendra S. Naik, and S. N. Chaitra
Wiley - Patient Monitoring Using 5G, with MIMO-NOMA for mm-Wave Communications in Heterogeneous Networks
P. G. Suprith, Mohammed Riyaz Ahmed, Mahendra Shridhar Naik, K. J. Kavitha, and S. N. Chaitra
Wiley - Neural Network Approach for Early Detection of Sugarcane Diseases
K. J. Kavitha, K. Krishna Prasad, P. G. Suprith, and Vishwaraj B. Manur
Springer Nature Switzerland - A watermarking scheme using intellectual encoding-encryption based blind reversible integer wavelet-singular value decomposition transform for authenticity detection
K. J. Kavitha and B. Priestly Shan
Springer Science and Business Media LLC - An efficient medical image watermarking technique using integer wavelet transform and quick/fast response codes
K.J. Kavitha and Priestly B. Shan
Inderscience Publishers
Securing the medical images to make it tamper free is a terribly difficult task. With the advanced digital watermarking (DWM) technique, we are able to protect the medical images by evaluating validation, dependability, privacy and integrity. The DWM is implemented in two main domains: transform and spatial. The DWM is mostly implemented using the transform techniques such as singular valued decomposition (SVD), discrete cosine transform (DCT), discrete wavelet transform (DWT), integer wavelet transform (IWT) and combination of these techniques. One of the foremost challenges in these technologies is information embedding capability and this parameter is considered for evaluation of the system. One of the possible ways to reduce the number of embedding bits in information is to use quick response code (QR). The proposed DWM system uses: IWT, bit plane and QR code. - Joint digital water marking for medical images for improving security
Kavitha K. J and Priestly B. Shan
Oriental Scientific Publishing Company
Digital watermarking is one of the most efficient techniques to provide the highest secureness to the transmission of data like images or videos over the internet. Quite over the medical data which incorporates the EHR (Electronic Health Record) and medical images and conjointly the military data are crucial whose protection and privacy is extremely a lot of essential issues. To secure this data, the Digital watermarking plays a major role so that it will guarantee authentication, integrity, confidentiality and reliability. In the case of medical images, even a small change or modifications are strictly prohibited as it might lead to the incorrect diagnosis of the disease. Therefore, securing medical image is extremely essential. So as to provide high security for each patient’s data and also the various medical scanning images, we can employ the Digital Water Marking (DWM) technique. The DWM technique may be implemented in two ways: Spatial domain technique and Frequency domain technique. Although the spatial implementation is extremely straightforward and a very simple method, most of the implementations are done using frequency or transform/remodel domain strategies since it provides additional details and high effectiveness. The DWM may be implemented using numerous transform/remodel techniques like Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), also with the combination of these remodel techniques. Nowadays the work is also extended using a combination of transforming/remodel and spatial domain techniques. In this article the Digital Water Marking is being implemented by employing a combination of a transform technique DWT and a spatial domain technique SVD to provide security to the medical images and also the system efficiency is checked for numerous attacks. - E2-invisible watermarking for protecting intellectual rights of medical images and records
Kavitha K. J. and Dr. B.
The Science and Information Organization
In today’s digital era, practice of telemedicine has become common which involves the transmission of medical images and Myhealthrecord (MHR) for higher diagnosis in case of emergency and maintaining integrity, robustness, authentication and confidentiality of such patient’s data becomes necessary. Many works has shown that the digital watermarking is one of the solutions but simultaneously, it is known that no complete algorithm is available to fulfil all the requirements of a field. Till the watermarking technique becomes robust, encryption technique can be considered as one of the best solution for protecting the data. Encoding is used for transforming the information in to another form and in the proposed work of digital watermarking (DWM); encoding is combined with encryption and DWM to enhance the protection of data by maintaining the above said constraints. In this paper, DWM for medical images is implemented by joint combination of spatial and frequency domain technique Singular value decomposition-Integer wavelet transform (SVD-IWT) respectively, 64-bit Rivest-Shamir-Adleman (RSA) crypto-technique and new encoding procedure. To avoid the degradation of the medical image which is very essential in the medical field, data payload should be less and is achieved by the use of quick response (QR) code which consumes less space for large information. Finally the proposed system is compared with other traditional methods and also evaluated against various image processing and geometric attacks. - Implementation of DWM for medical images using IWT and QR code as a watermark
K J Kavitha and B Priestly Shan
IEEE
As we know that, securing the medical images is a very challenging task. This challenge is efficiently handled with the help digital watermarking techniques. With the help of this growing technology we are able to evaluate validation, reliability, privacy and integrity of the medical images. Many algorithms have been implemented on this technology. The DWM may be implemented using various techniques like DCT, DWT, combination of DCT and DWT, combination of DWT and SVD. Nowadays the work is extended using integer wavelet transform (IWT) also [5]. But in all these works, one of the major challenges is data embedding capacity. The more number of bits hidden distorts the image which is strictly avoided in the case of medical and military applications. To overcome this problem nowadays work is going on to implement digital watermarking technique with less data embedding capacity which may be achieved by converting the watermark in to quick response code (QR Code). The QR code consumes a less space for large information compared to any other existing formats. In this paper an approach is proposed to implement the digital watermarking technique for the medical images which comprises of the techniques: Integer wavelets transform (IWT), Bit plane method and quick response code (QR code). After the watermarking process, the watermarked image is evaluated against some of the parameters to know the efficiency of technique being employed. The experiment is carried out for two different bit planes and the results are compared to show embedding in which of the bit plane number results in more efficiency and finally the conclusion is made.