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dc.contributor.advisorChakrabarty, Amitabha
dc.contributor.authorDhar, Bishakha
dc.contributor.authorSmita, Noushin Anzum
dc.date.accessioned2019-04-21T06:24:09Z
dc.date.available2019-04-21T06:24:09Z
dc.date.copyright2018
dc.date.issued2018-12
dc.identifier.otherID 14301093
dc.identifier.otherID 14101134
dc.identifier.urihttp://hdl.handle.net/10361/11752
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 29-30).
dc.description.abstractWith the invention of new technology day by day the rate of inhuman works is also getting increased as well which ,making our life easier but at the same time unsafe. The new advanced technologies are permitting us to realize real time smart system that helps to provide advanced services to the users by giving real time image processing and currently, this smart system is also being imbibed to build the model according to the users’ demand and interest. In this proposed model, an emergency image filtration system has introduced. Through our proposed model we tried to emphasis to implement it for security system. In low light or some other reasons image capturing devices failed to capture perfect or clear image. Insecurity system sometimes it is a must to get the clear image to identify the real fact. For that reason we proposed to filter noisy images in real time to check the fact on exact time. For noisy image we have taken ‘salt and pepper noise’ as a type of noise to check whether the received image is noisy or not. In addition, after assuring the presence of noise, an image filtering system is inaugurated which is suitable filtration for the specific noise category that can enhance the visualization of any degraded images in emergency basis in the server. After the filtration process is held, the denoised image is saved in the server again to share with other connecting devices through that server. As a result, the percentage of noise level for particular images can be identified. In particular, the proposed system relies on a smart device that assembles image filtration to deliberately provide the users with strained output image in an observed network. The final transmission of the refining data has done by the devices which are connected with virtual server. Finally, through running definite image filtering process, running in the system, that controls the smart environment security system and will help us to prevent various unwanted inhuman works. The system has been designed that can be easily extensible to other smart technologies and its effectiveness has been evaluated in various security as well as safety platform.en_US
dc.description.statementofresponsibilityBishakha Dhar
dc.description.statementofresponsibilityNoushin Anzum Smita
dc.format.extent30 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectImage processingen_US
dc.subjectFiltrationen_US
dc.subjectCloud storageen_US
dc.subjectSmart securityen_US
dc.subject.lcshImage processing--Digital techniques.
dc.subject.lcshSecurity measures.
dc.titleAn emergency based image filtering systemen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science and Engineering


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