An Efficient Image Cryptographic Algorithm based on Frequency Domain using Haar Wavelet Transform

Mali, Kalyani; Chakraborty, Shouvik; Seal, Arindrajit; Roy, Mousomi

doi:10.14257/ijsia.2015.9.12.26

Cited by 32 publications

(2 citation statements)

References 8 publications

(7 reference statements)

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“…The frequency domain based methods computes the coefficients in the frequency domain and these coefficients are further used to transform the image to get the encrypted form or some information can be embedded [28]. Watermark can efficiently inserted using the frequency based methods.…”

Section: B Methods Based On Frequency Domainmentioning

confidence: 99%

A Study on the Applications of the Biomedical Image Encryption Methods for Secured Computer Aided Diagnostics

Roy

Mali

Chatterjee

et al. 2019

2019 Amity International Conference on Artificial Intelligence (AICAI)

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Computer aided diagnostic is one of the most active research area and has huge impact on the health care industry. With the advent of intelligent methods, biomedical data processing becomes easier and less error prone. Moreover, remote health care is also possible using the IoT infrastructure. However, data security over the network is always considered as a challenge. Biomedical data are generally sensitive to external disturbances and small manipulation in the data may cause huge difference in the ultimate result. Wrong diagnosis can be life threatening in some scenarios or can be severe in almost every instance. Therefore, biomedical data security is one of the major challenge and necessary for remote health care. In this work, some application of cryptographic methods have been discussed which are used to protect biomedical images from unwanted modifications and access. This work can be highly beneficial in future research in the field of biomedical image protection as well as multimedia data security.

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Section: B Methods Based On Frequency Domainmentioning

confidence: 99%

A Study on the Applications of the Biomedical Image Encryption Methods for Secured Computer Aided Diagnostics

Roy

Mali

Chatterjee

et al. 2019

2019 Amity International Conference on Artificial Intelligence (AICAI)

Self Cite

View full text Add to dashboard Cite

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“…Thus, we need a technology that can clean the contaminants and use them in an appropriate way (e.g., to produce electricity) and improve the quality of the environment. With the advancement of technology, various efficient methods are gradually developing to solve and handle several problems in a cost effective manner (S. Shouvik Chakraborty et al, 2016;Shouvik Chakraborty, Chatterjee, Ashour, et al, 2017;Shouvik Chakraborty, Chatterjee, Dey, et al, 2017;Shouvik Chakraborty et al, 2020Shouvik Chakraborty, Mali, et al, 2017;Shouvik Chakraborty & Bhowmik, 2015, 2013Shouvik Chakraborty & Mali, 2018;Datta et al, 2017;Fang et al, 2009; S. Hore et al, 2016Hore et al, , 2018Sirshendu Hore et al, 2015;Lu et al, 2012;Mali, Chakraborty, Seal, et al, 2015;M. Roy et al, 2018;Mousomi Roy et al, 2019Sarddar et al, 2015;Seal et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

An Approach to Prevent Air Pollution and Generate Electricity Using Nanostructured Carbon Materials

Mondal¹,

Bhadra²,

Chakraborty³

et al. 2021

International Journal of Applied Nanotechnology Research

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Pollution is one of the major threats for the environment as well as society. It causes severe problems for the living organisms and can gives birth of various unknown issues. Different sources like cars, industrial belts, fossil fuels etc. are the major causes of air pollution. Different researchers are working to develop new methods to combat air pollution. In this work, a new solution is proposed to fight against air pollution. The proposed solution is based on nanotechnology which not only fight against the air pollution but, it can generate electricity using the nanostructured carbon materials. The proposed solution can be deployed in real life scenario to reduce the air pollution and produce electricity in a large scale to provide an alternate energy resource to the society.

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Edge Computing Based Conceptual Framework for Smart Health Care Applications Using Z-Wave and Homebased Wireless Sensor Network

Chakraborty¹,

Mali²,

Chatterjee³

2021

Mobile Edge Computing

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An Efficient Image Cryptographic Algorithm based on Frequency Domain using Haar Wavelet Transform

Abstract: Abstract

Cited by 32 publications

References 8 publications

A Study on the Applications of the Biomedical Image Encryption Methods for Secured Computer Aided Diagnostics

A Study on the Applications of the Biomedical Image Encryption Methods for Secured Computer Aided Diagnostics

An Approach to Prevent Air Pollution and Generate Electricity Using Nanostructured Carbon Materials

Edge Computing Based Conceptual Framework for Smart Health Care Applications Using Z-Wave and Homebased Wireless Sensor Network

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