arXiv:1901.05811
No reference image quality assessment metric based on regional mutual information among images
원문 초록
With the inclusion of camera in daily life, an automatic no reference image quality evaluation index is required for automatic classification of images. The present manuscripts proposes a new No Reference Regional Mutual Information based technique for evaluating the quality of an image. We use regional mutual information on subsets of the complete image. Proposed technique is tested on four benchmark natural image databases, and one benchmark synthetic database. A comparative analysis with classical and state-of-art methods indicate superiority of the present technique for high quality images and comparable for other images of the respective databases.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment
토론
이 논문과 연결된 포럼 글이 아직 없습니다.