Multi-domain image denoising using optimization algorithm and sequential filters
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Department of Electrical and Electronic Engineering (EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh
Abstract
The progress of technology have led images to become part and parcel of everyday
life. From medical diagnosis to surveillance, the digital signal containing visual information
is deeply integrated and requires several steps of processing before it serves any purpose. As
images are subjected to various interference in the environment, they’re often corrupted by
naturally occurring and synthetic noises during transmission and acquisition. Noises can distort
or overshadow important image data, therefore, they require elimination before further
processing can be completed. For such reasons, various types of Spatial Domain Filters and
Transform Domain methods have been devised. In our work, we seek to devise an image
denoising method utilizing Spatial Domain Filters such as median, Gaussian, mean, Bilateral,
and Wiener filters, and use recent optimization algorithms to tune the parameters to achieve
optimum PSNR for image denoising. Aside from PSNR, we have used various other
performance metrics in order to ensure edge and detail preservation, as well as the prevention
of generating new information and oversmoothing.
Description
Supervised by
Mr. Md. Samiur Rahman,
Lecturer,
Department of Electrical and Electronic Engineering (EEE)
Islamic University of Technology (IUT)
Board Bazar, Gazipur, Bangladesh
This thesis is submitted in partial fulfillment of the requirement for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2025
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