A proposal project for a blind image quality assessment by learning distortions from the full reference image quality assessments
arXiv:1512.04354v1
Originality Synthesis-oriented
AI Analysis
This is an incremental proposal for improving image quality assessment in computer vision, but it lacks implementation details.
The paper proposes a plan to develop a blind image quality assessment method that outputs both an objective score and a distortion map for distorted images without needing reference images, but no results or numbers are provided.
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.