2013 IEEE China Summit and International Conference on Signal and Information Processing 2013
DOI: 10.1109/chinasip.2013.6625396
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No-reference image quality assessment based on BNB measurement

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Cited by 5 publications
(2 citation statements)
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“…BNB metrics are proposed in our previous work [9] , which could measure image blurriness, noisiness and blockiness well. In this paper, we employ these three features and (1) Codebook Construction The ith element of the codebook is a vector including five values: blurriness feature, noisiness feature, blockiness feature, viewing distance, QoE score, which are noted as 5 .…”
Section: Image Qoe Predictionmentioning
confidence: 99%
See 1 more Smart Citation
“…BNB metrics are proposed in our previous work [9] , which could measure image blurriness, noisiness and blockiness well. In this paper, we employ these three features and (1) Codebook Construction The ith element of the codebook is a vector including five values: blurriness feature, noisiness feature, blockiness feature, viewing distance, QoE score, which are noted as 5 .…”
Section: Image Qoe Predictionmentioning
confidence: 99%
“…Considerable attention has been attracted to the research on image quality assessment, such as Full Reference Image Quality Assessment (FRIQA) [1] [2] [3], Reduced Reference Image Quality Assessment (RRIQA) [4] [5] [6], and No Reference Image Quality Assessment [7] [8] [9]. All these above methods only consider image itself, and they assume that the images are viewed under the same condition for all users.…”
Section: Introductionmentioning
confidence: 99%