The global push for more immersive digital experiences, from enterprise training simulations to consumer entertainment, is accelerating the need for advanced 3D display technologies. Traditional methods struggle with the computational demands of high-resolution holography, creating a bottleneck for innovation. This technology offers a critical advantage by significantly lowering the barrier to entry for real-time holographic content, enabling companies to meet market expectations for realism and interactivity while gaining a competitive edge in the rapidly evolving display and digital content sectors.
Reduces computation by ~66% by optimally downsampling images based on hologram spatial frequency, significantly cutting raw data volume without visual impact.
Accelerates hologram generation by significantly reducing data generation time through optimized light wave propagation calculation and data processing.
Maintains high-definition 3D representation by preserving visual quality through upsampling matched to the spatial light modulator's pixel pitch, even with data reduction.
This patent protects the core processes of hologram data generation, specifically defining means for downsampling, upsampling light wave propagation, and hologram data calculation. It has demonstrated robustness by overcoming a rejection notice during examination against seven prior art documents, indicating a stable and difficult-to-invalidate right.
This patent protects the efficient algorithm for hologram data generation. Licensees could build additional IP in novel holographic display hardware or specific application-layer software.
Implementing this technology could reduce computational resources for hologram data generation by approximately 66%. For example, if an existing system incurs $600K/year (AI est.) in cloud GPU usage, this technology could reduce it to $400K/year (AI est.), resulting in an estimated annual cost savings of $200K (AI est.). Additional benefits include reduced personnel costs from accelerated development and faster time-to-market, contributing to earlier revenue generation.
X: Computational Efficiency
Y: Image Fidelity