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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Bibliographic Details
Main Author: Feng, HaoLin
Other Authors: Lin Weisi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166046
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Institution: Nanyang Technological University
Language: English

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