Quality Assessment of Out-of-Focus Blurred Images Based on Objects Depth Ordering and Saliency

2018 ◽  
Vol 2018 (12) ◽  
pp. 368-1-368-5
Author(s):  
Sid Ahmed Fezza ◽  
Mohamed-Chaker Larabi
Keyword(s):  
Quality Assessment ◽  
Blurred Images ◽  
Depth Ordering

scholarly journals Quality assessment for real out-of-focus blurred images

2017 ◽  
Vol 46 ◽  
pp. 70-80 ◽  
Author(s):  
Yutao Liu ◽  
Ke Gu ◽  
Guangtao Zhai ◽  
Xianming Liu ◽  
Debin Zhao ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Blurred Images

A reduced-reference quality assessment scheme for blurred images

2016 ◽  
Author(s):  
Zongxi Han ◽  
Guangtao Zhai ◽  
Yutao Liu ◽  
Ke Gu ◽  
Xinfeng Zhang
Keyword(s):  
Quality Assessment ◽  
Reference Quality ◽  
Blurred Images

Research on Discrete Fourier Transform Representation for Image Quality Assessment

2014 ◽  
Vol 905 ◽  
pp. 552-555
Author(s):  
Shi Lin Zhao ◽  
Xiu Hua Ji
Keyword(s):  
Fourier Transform ◽  
Quality Assessment ◽  
Discrete Fourier Transform ◽  
Image Quality Assessment ◽  
Structural Similarity ◽  
Simple Calculation ◽  
Assessment Method ◽  
Objective Quality ◽  
Quality Assessment Method ◽  
Blurred Images

Recently the Structural Similarity (SSIM) is proposed, and attracts a lot of attentions for its good performance and simple calculation. By deeply studying the SSIM, we find it fails to measure the badly blurred images. Based on this, we develop an improved objective quality assessment method which is based on Discrete Fourier Transform representation (called as MDFT). Experiment results show the proposed method is more consistent with HVS than SSIM especially for blurred images and fading images.

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