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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Universiti Malaysia Sarawak, UNIMAS
2010
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Online Access: | 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 http://ir.unimas.my/id/eprint/4568/ |
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my.unimas.ir.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 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 [Final Year Project Report] (Unpublished) |
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T Technology (General) Ng, A.S.L Blur assessment using edge information |
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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. |
format |
Final Year Project Report |
author |
Ng, A.S.L |
author_facet |
Ng, A.S.L |
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Ng, A.S.L |
title |
Blur assessment using edge information |
title_short |
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_sort |
blur assessment using edge information |
publisher |
Universiti Malaysia Sarawak, UNIMAS |
publishDate |
2010 |
url |
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 http://ir.unimas.my/id/eprint/4568/ |
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1787519559374209024 |
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13.160551 |