Blur assessment using edge information

Quality of digital images is often impaired by blur artifacts in situation such as compression, focus error, relative motion and multimedia transmission. The loss of high frequency content leads to blurring effect in the image. In this paper, objective full-reference and no-reference blur assessm...

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Main Author: Ng, A.S.L
Format: Final Year Project Report / IMRAD
Language:English
English
Published: Universiti Malaysia Sarawak, UNIMAS 2010
Subjects:
Online Access:http://ir.unimas.my/id/eprint/4568/
http://ir.unimas.my/id/eprint/4568/1/Blur%20Assessment%20Using%20Edge%20Information%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/4568/7/ADELINE%20NG%20SIN%20LIN.pdf
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author Ng, A.S.L
author_facet Ng, A.S.L
author_sort Ng, A.S.L
building UNIMAS Institutional Repository
collection Online Access
description Quality of digital images is often impaired by blur artifacts in situation such as compression, focus error, relative motion and multimedia transmission. The loss of high frequency content leads to blurring effect in the image. In this paper, objective full-reference and no-reference blur assessments are presented to measure the degree of Gaussian blur in the image by using edge information. The degree of Gaussian blur of an image is the average of total edge widths over all detected edges. The performance of the blur assessment is also validated with subjective results. The results show that the blur assessment correlates relatively well with human perception. The blur measurement is applicable to numerous applications such as blur estimation in digital photography, image processing, printing or as a simple metric in comparing two images. The source code of this low computational complexity blur assessment is written in MATLAB program.
first_indexed 2025-11-15T06:08:10Z
format Final Year Project Report / IMRAD
id unimas-4568
institution Universiti Malaysia Sarawak
institution_category Local University
language English
English
last_indexed 2025-11-15T06:08:10Z
publishDate 2010
publisher Universiti Malaysia Sarawak, UNIMAS
recordtype eprints
repository_type Digital Repository
spelling unimas-45682024-01-05T02:57:38Z http://ir.unimas.my/id/eprint/4568/ Blur assessment using edge information Ng, A.S.L T Technology (General) Quality of digital images is often impaired by blur artifacts in situation such as compression, focus error, relative motion and multimedia transmission. The loss of high frequency content leads to blurring effect in the image. In this paper, objective full-reference and no-reference blur assessments are presented to measure the degree of Gaussian blur in the image by using edge information. The degree of Gaussian blur of an image is the average of total edge widths over all detected edges. The performance of the blur assessment is also validated with subjective results. The results show that the blur assessment correlates relatively well with human perception. The blur measurement is applicable to numerous applications such as blur estimation in digital photography, image processing, printing or as a simple metric in comparing two images. The source code of this low computational complexity blur assessment is written in MATLAB program. Universiti Malaysia Sarawak, UNIMAS 2010 Final Year Project Report / IMRAD NonPeerReviewed text en http://ir.unimas.my/id/eprint/4568/1/Blur%20Assessment%20Using%20Edge%20Information%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/4568/7/ADELINE%20NG%20SIN%20LIN.pdf Ng, A.S.L (2010) Blur assessment using edge information. [Final Year Project Report / IMRAD] (Unpublished)
spellingShingle T Technology (General)
Ng, A.S.L
Blur assessment using edge information
title Blur assessment using edge information
title_full Blur assessment using edge information
title_fullStr Blur assessment using edge information
title_full_unstemmed Blur assessment using edge information
title_short Blur assessment using edge information
title_sort blur assessment using edge information
topic T Technology (General)
url http://ir.unimas.my/id/eprint/4568/
http://ir.unimas.my/id/eprint/4568/1/Blur%20Assessment%20Using%20Edge%20Information%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/4568/7/ADELINE%20NG%20SIN%20LIN.pdf