An emergency based image filtering system
Abstract
With 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.