IRIS: Advanced Video Denoising System for Bandwidth Efficiency

IRIS, our advanced video denoising system, significantly cuts bandwidth across various video codecs by enhancing encoding efficiency. It achieves this through key improvements at crucial compression stages:

Smarter Motion Vector Handling:
Noise disrupts motion estimation, leading to more, often inaccurate, motion vectors and larger residual errors, inflating bitrate. IRIS pre-processing effectively removes noise, enabling motion estimation to identify true motion with fewer, higher-quality vectors. This precision reduces the residual data needing encoding.

Side-by-Side Video: View Here

Deeper Residual Data Entropy Reduction:
The residual signal (difference between predicted and actual frames) carries noise, increasing its complexity (entropy) and requiring more bits for encoding. IRIS cleans the video beforehand, resulting in a lower entropy residual signal, allowing for more efficient compression regardless of the codec's internal processes.

Enhanced Intra-Frame Compression Efficiency:
Noise introduces high-frequency components within individual frames that codecs must encode. IRIS diminishes these noisy frequencies, leading to a more compressible frequency spectrum during intra-frame compression, further reducing overall bitrate.

As a pre-processing step, IRIS fundamentally simplifies the video signal for any codec (including H.264, HEVC, AV1, VP9). By reducing signal complexity and improving prediction accuracy, IRIS universally achieves lower bitrates while preserving or even improving visual quality. Ultimately, IRIS optimizes motion estimation, reduces residual signal entropy, and enhances intra-frame compression, consistently yielding significant bandwidth savings without compromising the viewing experience. This makes video delivery more efficient and cost-effective.