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BBAND Index: a No-Reference Banding Artifact Predictor

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Citation Author(s):
Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, and Alan Bovik
Submitted by:
Zhengzhong Tu
Last updated:
2 November 2020 - 8:01pm
Document Type:
Presentation Slides
Document Year:
2020
Event:
Presenters Name:
Zhengzhong Tu

Abstract 

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.

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Dataset Files

ICASSP20_Pre_BBAND_Slides.pdf

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