arXiv:1512.04354
A proposal project for a blind image quality assessment by learning distortions from the full reference image quality assessments
원문 초록
This short paper presents a perspective plan to build a null reference image quality assessment. Its main goal is to deliver both the objective score and the distortion map for a given distorted image without the knowledge of its reference image.
함께 살펴볼 논문
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Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessment
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
토론
이 논문과 연결된 포럼 글이 아직 없습니다.