Pith. sign in

REVIEW 1 cited by

BBAND Index: A No-Reference Banding Artifact Predictor

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2002.11891 v1 pith:KL7HXXPE submitted 2020-02-27 eess.IV cs.CVcs.MM

classification eess.IVcs.CVcs.MM
keywords bandingartifactbbandvideodetectorindexno-referenceproposed
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Banding artifact, or false contouring, is a common video compression impairment that tends to appear on large flat regions in encoded videos. These staircase-shaped color bands can be very noticeable in high-definition videos. Here we study this artifact, and propose a new distortion-specific no-reference video quality model for predicting banding artifacts, called the Blind BANding Detector (BBAND index). BBAND is inspired by human visual models. The proposed detector can generate a pixel-wise banding visibility map and output a banding severity score at both the frame and video levels. Experimental results show that our proposed method outperforms state-of-the-art banding detection algorithms and delivers better consistency with subjective evaluations.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos

    cs.CV 2025-06 conditional novelty 6.0 of 10

    The paper introduces a 3,254-video benchmark with pixel-level artifact masks for AI-generated video, and reports that fine-tuning on it improves artifact localization.

Pith tools