Work

Efficient per-pixel continuous representation and reconstruction of multi-view images

Year: 2026

Type: article

Abstract: This paper proposes a novel representation of multi-view images. They consist of views of the same scene, captured from different camera positions. The proposal is optimal representation for compression, performance, resampling, and artifact mitigation. Two compression levels are proposed. The first reduces operation memory requirements with fast decoding, and the second for heavy compression on the disk. The main use case of the proposal is usage with 3D displays where different devices require different numbers and formats of the views. The required views can be quickly synthesized with artifacts and noise mitigation. Each pixel is represented by a continuous color function of all views using discrete cosine transform or circular harmonics. Higher quality is ensured in the areas in-focus on the 3D display. Artifacts in out-of-focus areas are not detectable. The proposal offers a better quality/bitrate ratio than competitors on noisy images, and still yields reasonable results on denoised images.

Source: Journal of Visual Communication and Image Representation

DOI: 10.1016/j.jvcir.2026.104999

Authors: M. Vlnas, T. Chlubna, T. Milet, P. Zemčík

Institutions: Brno University of Technology, Lappeenranta-Lahti University of Technology

Language: English

Topic: Video Coding and Compression Technologies

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,450

Funder: FP7 Nanosciences, Nanotechnologies, Materials and new Production Technologies