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: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, UNIMAS
2010
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| Subjects: | |
| 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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| Summary: | 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. |
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