A Hierarchical modified AV1 codec for compression cartesian form of holograms in holo and object planes

• Published in: Multimedia tools and applications 2023-03, Vol.82 (6), p.8303-8321
• Main Authors: Hajihashemi, Vahid, Gharahbagh, Abdoreza Alavi, Bastanfard, Azam, Oliveira, Hugo S., Almeida, Gonçalo, Ma, Zhen, Tavares, João Manuel R. S.
• Format: Article
• Language: English
• Subjects: 1207: Innovations in Multimedia Information Processing & Retrieval; 3-D technology; Cartesian coordinates; Codec; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Holograms; Image compression; Image reconstruction; Multimedia Information Systems; Special Purpose and Application-Based Systems; Virtual reality
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-021-11567-8

Three-dimensional (3D) image reconstruction is emerging as a leading challenge for 3D media on the Internet and virtual reality. In this regard, compression performance in 3D technology is one of the most important issues. Various codecs such as HEVC and AV1 have been suggested to improve compression performance in 3D technology. In this study, a hybrid method based on AV1 codec combined with mathematical methods is proposed for improving the quality of this codec. In the proposed method, two AV1 compression steps are used to estimate the AV1 codec error using a linear relationship and added to the basic codec output to improve the compression performance. The proposed method shows better quality in the Cartesian form (real and imaginary parts) of the hologram in Holo and Object plane when compared to new codecs that have been proposed in the field of 3D compression. In addition, the proposed method can be used as a general compression method for 2D images. Based on simulation results, the proposed method improved the quality of reconstructed hologram by up to 63% and 5 dB in terms of BDRate and BDPSNR, respectively.