[Paper] DeepIQA: DIQaM & WaDIQaM Weighted Average Deep Image QuAlity Measure (Image Quality Assessment)

Network Inspired by VGGNet, Can Be Used In Both FR and NR IQA.

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Outline

1. FR-IQA (DIQaM-FR and WaDIQaM-FR)

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Deep neural network model for FR IQA.

1.1. Inputs

1.2. Feature Extraction

1.3. Feature Fusion

1.3. Regression

1.4. Spatial Pooling (DIQaM-FR)

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1.5. Pooling by Weighted Average Patch Aggregation (WaDIQaM-FR)

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2. NR-IQA (DIQaM-NR and WaDIQaM-NR)

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Deep neural network model for NR IQA.

3. Experimental Results

3.1. Performance Comparison on LIVE and TID2013

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Performance Comparison on LIVE and TID2013

3.2. Performance Comparison on Different Subsets of TID2013

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Performance Comparison on Different Subsets of TID2013

3.3. Performance Comparison of NR IQA on CLIVE

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Performance Comparison of NR IQA on CLIVE

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PhD, Researcher. I share what I've learnt and done. :) My LinkedIn: https://www.linkedin.com/in/sh-tsang/, My Paper Reading List: https://bit.ly/33TDhxG

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