Why remove noise before encoding?

Noise is random and hard to compress, so encoders waste bits on it and produce faulty motion vectors. Removing it first enables up to 30% lower bitrates at the same or better perceived quality.

Does IRIS blur the image?

No. IRIS separates noise from real image detail, preserves fine textures and raises the perceived resolution instead of smoothing the picture.

How is IRIS deployed?

Fully automated on NVIDIA GPUs: on-premises, in the cloud, hybrid or through our SaaS platform, with Kubernetes, Docker or VMs.

ANY VIDEO AT ANY RESOLUTION AND BANDWIDTH, IN THE BEST POSSIBLE QUALITY

VIDEO ENHANCEMENT AND GPU-BASED WORKFLOWS via SaaS

Get rid of noise and grain in your film and video content with our automatic and ultra-fast GPU-based low-delay denoising application. It performs strongly on RAW footage, and already compressed material can be processed effectively too. Get the right cleanup for your different distribution feeds and homogenize your VOD catalog, so your bandwidth ladder can be improved significantly. The picture quality of born-digital content and 35mm film will be optimized to allow ultra-low bitrates while preserving the highest visual quality.

Mastering the Image Chain: The IRIS-Denoising Ecosystem

At Wavelet Beam, we believe that achieving the highest visual quality means addressing noise where it matters most. Our IRIS-Denoising family is a precision toolset designed to integrate seamlessly into professional film and broadcast environments, from the first frame to the final stream.

1. Pre-Postproduction: The Clean Ingest

Before the creative work begins, the foundation must be perfect. We offer three specialized paths for early-stage optimization:

IRIS.RAW (DNG2DNG): The gold standard. By denoising directly on Bayer-pattern data before de-bayering, we preserve the maximum dynamic range.
BRAW2IRIS: Utilizing the BRAW SDK, this tool provides specific processing to optimize Blackmagic RAW footage for a clean start in the grading suite.
IRIS (Universal): Our versatile solution for all standard video formats, ensuring every source is ready for the high demands of post-production.

2. Post-Postproduction: The Master Polish

Even after a clean ingest, intensive Postproduction, including heavy Color Grading or complex VFX, can stress the image signal. By applying IRIS to high-quality intermediate formats like FFV1 or ProRes, we eliminate newly introduced artifacts, ensuring a pristine Master File.

3. Delivery & Distribution: IRIS Per-Shot Encoding

The final stage is where efficiency meets excellence. Our IRIS Per-Shot Encoding technology revolutionizes the way content is delivered:

Adaptive Intelligence: IRIS analyzes the master stream (e.g., from an FFV1 source) shot by shot.
Optimized Compression: By understanding the unique noise profile and detail level of every individual shot, we enable codecs (H.264, HEVC, AV1) to work with surgical precision.
The Result: Over 30% bitrate efficiency and maximum visual quality for VOD, Streaming, and Broadcast.

Modular by Design: Your Workflow, Your Choice

It is important to emphasize that IRIS does not need to be applied at every stage. Our ecosystem is built for maximum flexibility. Depending on your existing infrastructure or the specific technical nature of your signal, you can choose the most effective entry point:

Source-Driven: Use IRIS.RAW or BRAW2IRIS to protect your RAW data before it enters the creative pipeline.
Master-Driven: Use IRIS on an intermediate format like FFV1 to "clean up" after grading and VFX.
Distribution-Driven: Implement IRIS Per-Shot Encoding to ensure the most efficient and high-quality delivery possible.

At Wavelet Beam, we provide the surgical tools for your image signal, but you decide where they are most effective for your specific production environment.

The Impact of Noise on Video Encoding

Video codecs detect and code redundant information. The higher the compression, the more less important information will be removed. Noise in the video content reduces the temporal redundancy and forces the encoder to remove more original content. Applying High Fidelity Noise Management before encoding reduces the encoder's load.

The encoder's ability to detect motion and define motion vectors is negatively influenced by noise. Motion vector accuracy is essential.
Noise leads to false motion interpretation and faulty vectors, consuming bandwidth unnecessarily.
Statistical Multiplexing: Noisy services require more bandwidth and degrade overall multiplex quality.

With IRIS you always get all of these three points:

Higher Video Resolution
Video Bitrate Optimization
Video Image Enhancement

Software scalability and energy efficiency are increasingly critical. With our technology, massive archives can be processed on a single system. IRIS comes with a fully automated setup for cluster, cloud, and on-premises deployments. Our SaaS offering provides noise management workflows at a competitive per-minute rate.