CAMBI: Contrast-aware Multiscale Banding Index
| Autor: | Lukas Krasula, Mariana Afonso, Pulkit Tandon, Joel Sole |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
business.industry Computer science Computer Vision and Pattern Recognition (cs.CV) Subjective perception media_common.quotation_subject Image and Video Processing (eess.IV) Visibility (geometry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Science - Computer Vision and Pattern Recognition Pattern recognition Electrical Engineering and Systems Science - Image and Video Processing Encoding (memory) Human visual system model FOS: Electrical engineering electronic engineering information engineering Contrast (vision) Dither Artificial intelligence business Quantization (image processing) media_common |
| Zdroj: | PCS |
| Popis: | Banding artifacts are artificially-introduced contours arising from the quantization of a smooth region in a video. Despite the advent of recent higher quality video systems with more efficient codecs, these artifacts remain conspicuous, especially on larger displays. In this work, a comprehensive subjective study is performed to understand the dependence of the banding visibility on encoding parameters and dithering. We subsequently develop a simple and intuitive no-reference banding index called CAMBI (Contrast-aware Multiscale Banding Index) which uses insights from Contrast Sensitivity Function in the Human Visual System to predict banding visibility. CAMBI correlates well with subjective perception of banding while using only a few visually-motivated hyperparameters. 5 pages, 7 figures, 2 tables |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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