Neural · Quantum-Safe · Image Codec

PUCE Image

Neural image codec with integrated post-quantum encryption. Next-generation compression for critical visual data.

State-of-the-art neural compression

Four pillars that define the most advanced image codec on the market.

CVPR 2025 Neural Compression

Neural model with 45.6M parameters. Internally measured BD-Rate (PSNR, Kodak): −72% vs JPEG, −53% vs WebP, −42% vs AVIF, −30% vs VVC intra.

Post-quantum encryption

AES-256-GCM with ML-KEM-768 key exchange integrated in the bitstream. Each tile can have an independent key.

Tiled processing

Large images split into tiles for parallel GPU processing. Enables arbitrary resolution without memory limits.

Distilled model: PUCEImageFast

Compact version with only 2M parameters (96% reduction). Ideal for edge devices and real-time inference.

Kodak (24 imagens) · PSNR BD-Rate

BD-Rate Benchmarks

BD-Rate savings of PUCE Image vs each codec. Negative values = fewer bits for the same quality.

Reference codecBD-Rate
JPEG-72.3%
WebP-53.0%
AVIF-41.6%
VVC Intra-30.0%
JPEG
-72.3%
WebP
-53.0%
AVIF
-41.6%
VVC Intra
-30.0%

Pipeline architecture

Six stages — from content analysis to post-quantum encryption.

Stage 01

Content analysis

Automatic image type classification (photo, graphic, text, medical) for adaptive routing

Stage 02

Neural encoder

Proprietary neural encoder — 8.5M parameters, learned non-linear transform with multi-scale attention

Stage 03

Spatial prior

13.7M parameters — autoregressive model with spatial context for efficient entropy coding

Stage 04

Hyperprior

1.5M parameters — captures global latent structure for distribution estimation

Stage 05

Neural decoder

Proprietary neural decoder — 14.9M parameters, reconstruction with attention and skip connections

Stage 06

PQ encryption

AES-256-GCM with ML-KEM-768 key exchange — native post-quantum protection in bitstream

.puce-img format

Format specification

Extension.puce-img
Magic bytes0x50 0x55 0x43 0x45 ("PUCE")
EncryptionAES-256-GCM + ML-KEM-768
Entropy codingArithmetic (learned priors)
Bit depth8/10/12-bit
Color spaceRGB / YCbCr 4:4:4 / 4:2:0
TilingAdaptive (256×256 to 1024×1024)

Use cases

Secure medical image storage (DICOM, digital pathology)

Professional photography with neural compression superior to HEIF/AVIF

Satellite and geospatial imagery with military-grade encryption

E-commerce — catalogs with 60%+ reduction vs JPEG with no visible loss

Long-term digital archive with quantum protection

Classified government applications (CNSA 2.0 compliant)