[1]Wang Jie,Wang Yubo,Zhu Xiaodong,et al.A Blocking Artifacts Evaluation Method Based on Human Eye Masking Effect and Image Gradient[J].Journal of Zhengzhou University (Engineering Science),2019,40(03):7-12.[doi:10.13705/j.issn.1671-6833.2018.06.013]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 03
Page number:
7-12
Column:
Public date:
2019-04-30
- Title:
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A Blocking Artifacts Evaluation Method Based on Human Eye Masking Effect and Image Gradient
- Author(s):
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Wang Jie; Wang Yubo; Zhu Xiaodong; Ren Xiangyang
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School of Electrical Engineering, Zhengzhou University
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- Keywords:
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image gradient; Human eye masking effect; DCT; block effect; monotonic consistency
- CLC:
-
-
- DOI:
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10.13705/j.issn.1671-6833.2018.06.013
- Abstract:
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Blocking artifacts are the result of block-based discrete cosine transform in JPEG coding .An efficient no-reference method to measure the blocking artifacts is proposed in this paper. Firstly, the gradient of the pixels at block boundaries is transformed into the blocking artifact map ,which mainly includes the positions and intensity information of blocking artifact boundaries. Then We computer the effects of luminance and texture masking on blocking and integrate them into the blocking artifact map to form an noticeable blocking artifacts map. Based on the noticeable blocking artifacts map, we use the Minkowski method to calculate the metric of image blocking artifacts. Finally experiments for several image quality assessment databases showed that the proposed metric provides high monotonous consistency with subjective blockiness scores and outperforms other existing mainstream blockiness metrics