Test material: Netflix "Meridian", encoded in HEVC and delivered via HLS in UHD at 59.94 fps.

How? By removing noise from the signal before the encoder ever sees it, combined with IRIS Adaptive Per-Shot Encoding, which analyzes every shot individually and allocates bits with surgical precision. The result: higher VMAF, fewer quality drops in demanding scenes and a more consistent viewing experience across the entire stream.

Our customers see this every day, on their own material. If you want to see what it does to yours, let's talk.

1. Denoise first: IRIS Denoising cleans the signal before it hits the encoder, so bits are spent on detail, not on noise.
2. Analyze every shot: IRIS.ANALYST generates precise metadata for each shot in a single pass, without iterative VMAF loops.
3. Allocate bits per shot: Every scene gets exactly the bitrate its complexity requires, for up to 30% bitrate savings.
4. Deliver via HLS: Dynamic Per-Shot Encoding with HLS, in HEVC or AV1, with our in-house Film Grain Synthesis for AV1 VOD.

The entire pipeline runs as a fully automated process with flexible Kubernetes integration, as well as via Docker and VMs.

Traditional Per-Title encoding relies on exhaustive VMAF-driven loops that consume massive computing power and time. At Wavelet Beam, we believe efficiency should be inherent, not iterative. Our One-Path philosophy eliminates redundant analysis cycles.

The Wavelet Beam Advantage: Intelligent Precision

By leveraging IRIS.ANALYST, we generate precise metadata in a single step. This allows our Per-Shot Encoding to adapt instantly to the unique complexity of every scene, ensuring optimal quality without the overhead of multiple encoding passes.

• IRIS-Denoising Integration: We clean the signal before it hits the encoder, ensuring bits are spent on detail, not noise.
• One-Path Workflow: Metadata generation and encoding happen in a seamless, high-speed pipeline.
• Up to 30% Bitrate Savings: Superior visual fidelity at significantly lower bandwidth through shot-based granularity.

In high-end video encoding, averages can be misleading. At Wavelet Beam, we've seen cases where a video achieves a "Mean VMAF" of 95, yet contains visible quality collapses that ruin the viewer experience.

The Wavelet Beam Solution: QBVE

We utilize QBVE (Quadratic Bad VMAF Energy). Unlike standard means, QBVE functions as a Gated MSE, measuring the failure energy only when it falls below our quality floor:

While the standard encoder (left) struggled, our IRIS per-shot optimization (right) preserved structural integrity and nearly halved the "Bad Energy."