No-reference image quality assessment using Gabor-based smoothness and latent noise estimation
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150 citations
"No-reference image quality assessme..." refers background in this paper
...Therefore, most of the no-reference image quality metrics follow a feature-based approach which is based on generating a quality score in accordance to a particular type of distortion present in the image such as blockiness [7], blur identification and estimation [8] and ringing [9]....
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143 citations
116 citations
"No-reference image quality assessme..." refers methods in this paper
...By normalizing the average SRCC values over unity, the normalized weights of the three quality indices were found to be: W1 = 0.33, W2 = 0.32 and W3 = 0.34....
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...The SRCC value of the four quality index for the three image database is shown below in Table I. Table I shows remarkable accuracy (> 80...
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...The value of SRCC values of the proposed metric for two test databases along with other no-reference quality metrics is shown in Table II....
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...In order to verify the effectiveness of the proposed quality metric, the SRCC value of the proposed metric is compared with other state-of-the-art no-reference image quality metrics viz....
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...The average SRCC for all training and test images was found to be approximately 0.80....
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73 citations
"No-reference image quality assessme..." refers background in this paper
...Very early research considered proposed to model the HVS with the help of various types of filters that are designed to mimic the contrast sensitivity function (CSF) of the human eye and extract features in accordance with the visual system [1]-[2]....
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39 citations
"No-reference image quality assessme..." refers background in this paper
...Therefore, most of the no-reference image quality metrics follow a feature-based approach which is based on generating a quality score in accordance to a particular type of distortion present in the image such as blockiness [7], blur identification and estimation [8] and ringing [9]....
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