A lightweight handcrafted feature-based selective attention network for blind image quality assessment
This paper introduces a novel approach to Blind Image Quality Assessment (BIQA) by employing handcrafted features combined with a selective feature attention mechanism, drawing inspiration from the human visual system (HVS). This method aligns more closely with human perception of image quality, as...
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Main Author: | Feng, HaoLin |
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Other Authors: | Lin Weisi |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166046 |
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Institution: | Nanyang Technological University |
Language: | English |
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