EBIQA: an edge based image quality assessment
EBIQA: an edge based image quality assessment
Image Quality Assessment (IQA) has many applications in digital image processing and many techniques have been proposed for its measurement such as Mean Squared Error (MSE). In this paper, a new technique, Edge Base Image Quality Assessments (EBIQA) is proposed. It is based on different edge features which are computed from original and distorted images. We implement and test the proposed technique using different input samples. Our experimental results show that the EBIQA technique obtains different values for different distorted images which are belong to an original image, while MSE technique does not. In addition, our proposed technique is consistent with the mean opinion score that is an IQA measurement evaluated by a number of expert observers. All means that the proposed technique is suitable algorithm for automatic image quality assessment compared to other techniques. © 2011 IEEE.
Distorted image, Edge Based, Full-reference, Image Quality Assessment, Objective quality
Attar, Abdolrahman
f5efd538-042a-4647-9d46-1370d3049b72
Moradi Rad, Reza
3104e2b1-2d04-4cb4-8723-c5a3f28019ad
Shahbahrami, Asadollah
a254cee0-48b1-4a87-b6ab-49bf8aee412d
16 November 2011
Attar, Abdolrahman
f5efd538-042a-4647-9d46-1370d3049b72
Moradi Rad, Reza
3104e2b1-2d04-4cb4-8723-c5a3f28019ad
Shahbahrami, Asadollah
a254cee0-48b1-4a87-b6ab-49bf8aee412d
Attar, Abdolrahman, Moradi Rad, Reza and Shahbahrami, Asadollah
(2011)
EBIQA: an edge based image quality assessment.
In,
2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings.
(2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings)
(doi:10.1109/IranianMVIP.2011.6121593).
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Abstract
Image Quality Assessment (IQA) has many applications in digital image processing and many techniques have been proposed for its measurement such as Mean Squared Error (MSE). In this paper, a new technique, Edge Base Image Quality Assessments (EBIQA) is proposed. It is based on different edge features which are computed from original and distorted images. We implement and test the proposed technique using different input samples. Our experimental results show that the EBIQA technique obtains different values for different distorted images which are belong to an original image, while MSE technique does not. In addition, our proposed technique is consistent with the mean opinion score that is an IQA measurement evaluated by a number of expert observers. All means that the proposed technique is suitable algorithm for automatic image quality assessment compared to other techniques. © 2011 IEEE.
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Published date: 16 November 2011
Keywords:
Distorted image, Edge Based, Full-reference, Image Quality Assessment, Objective quality
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Local EPrints ID: 502144
URI: http://eprints.soton.ac.uk/id/eprint/502144
PURE UUID: ada760f6-18d2-44f9-b22a-73b8917cd1d1
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Date deposited: 17 Jun 2025 16:45
Last modified: 17 Jun 2025 17:00
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Contributors
Author:
Abdolrahman Attar
Author:
Reza Moradi Rad
Author:
Asadollah Shahbahrami
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