6533b7d9fe1ef96bd126cc45

RESEARCH PRODUCT

Robust Light Field Watermarking by 4D Wavelet Transform

Manuel Martínez-corralAmir Hossein AnsariGenaro Saavedra

subject

General Computer ScienceComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION4D waveletImage processing02 engineering and technologyGaussian noisesymbols.namesakeWaveletRobustness (computer science)Computer Science::Multimedia0202 electrical engineering electronic engineering information engineeringDiscrete cosine transformMedian filterlight fieldplenoptic imageGeneral Materials ScienceComputer visionDigital watermarkingbusiness.industry3D reconstructionGeneral EngineeringWavelet transformDCT020207 software engineeringcomputer.file_formatÒpticaGaussian noiseJPEG 2000symbolsRGB color model020201 artificial intelligence & image processingArtificial intelligenceDigital watermarkinglcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesscomputerlcsh:TK1-9971Light fieldImatges Processament Tècniques digitals

description

Unlike common 2D images, the light field representation of a scene delivers spatial and angular description which is of paramount importance for 3D reconstruction. Despite the numerous methods proposed for 2D image watermarking, such methods do not address the angular information of the light field. Hence the exploitation of such methods may cause severe destruction of the angular information. In this paper, we propose a novel method for light field watermarking with extensive consideration of the spatial and angular information. Considering the 4D innate of the light field, the proposed method incorporates 4D wavelet for the purpose of watermarking and converts the heavily-correlated channels from RGB domain to YUV. The robustness of the proposed method has been evaluated against common image processing attacks.

10.1109/access.2020.3035912https://ieeexplore.ieee.org/document/9247953/