Back to search

Article

BIQABSF: Blind Image Quality Assessment Based on Statistical Features

2025-11-03

Abstract excerpt

<title>Abstract</title> <p>No-Reference Image Quality Assessment (NR-IQA) is challenging due to the absence of reference images. Natural Scene Statistics (NSS) provides a robust foundation for NR-IQA. However, BRISQUE relies on the statistical features of image intensity and imposes a strong zero-mean assumption, which may not hold in practice and could limit its performance. This paper proposes a novel NR-IQA me...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c2e3e4f6-4aa1-5f38-b53e-6052f1f11f77
DOI
10.21203/rs.3.rs-7860040/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
BIQABSF: Blind Image Quality Assessment Based on Statistical FeaturesDOI 10.21203/rs.3.rs-7860040/v1
Select a neighboring publication to make it the new centre.