Robust Framework For Digital Image Denoising And Deblurring

Toh, Kenny Kal Vin (2012) Robust Framework For Digital Image Denoising And Deblurring. PhD thesis, Universiti Sains Malaysia.

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Image restoration concerns improving visual quality of a captured image that goes beyond the achievable limit of camera. Recent advancement in imaging and multimedia technology has advocated the interests of image restoration through software, of which applications permeate consumer photography as well as different industries. Unfortunately, the captured images often suffer from degradations, such as blurring, noise, unpleasant artifacts, and more, due to limitations of the imaging system. Despite considerable efforts have been channeled to advance the state-of-the-art methods, surprisingly, these methods are often slow and only designed for handling specific degradation model.

Item Type: Thesis (PhD)
Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Thesis
Depositing User: ASM Ab Shukor Mustapa
Date Deposited: 02 Jul 2019 07:24
Last Modified: 02 Jul 2019 07:24

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