Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes

TL;DR

This paper introduces a robust blind watermarking method for 3D meshes that combines sparse QIM with deletion correction codes, significantly improving watermark recovery accuracy under mesh simplification.

Contribution

The paper presents a novel watermarking scheme that integrates sparse QIM with deletion correction codes to enhance robustness against mesh optimization.

Findings

Achieves two orders of magnitude better watermark bit error rate.

Operates effectively on vertices in rough concave regions.

Maintains high fidelity despite mesh simplification.

Abstract

We propose a blind watermarking scheme for 3-D meshes which combines sparse quantization index modulation (QIM) with deletion correction codes. The QIM operates on the vertices in rough concave regions of the surface thus ensuring impeccability, while the deletion correction code recovers the data hidden in the vertices which is removed by mesh optimization and/or simplification. The proposed scheme offers two orders of magnitude better performance in terms of recovered watermark bit error rate compared to the existing schemes of similar payloads and fidelity constraints.