Free webp to jpg
Image MIME Reference
CNS-INF2

Comverse Network Systems INF2 Image

image/vnd.cns.inf2
VS

JPEG-LS

image/jls
JPEG-LS

A complete technical comparison of Comverse Network Systems INF2 Image and JPEG-LS — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.

Equal browser support

Feature Support

Feature CNS-INF2 JPEG-LS
Transparency (Alpha) ✕ No ✕ No
Animation Support ✕ No ✕ No
Progressive Loading ✕ No ✕ No
HDR Support ✕ No Yes
EXIF Metadata ✕ No ✕ No
ICC Color Profile ✕ No ✕ No
Comverse Network Systems INF2 Image
image/vnd.cns.inf2
Extension
.inf2
Container Proprietary Comverse Container
Compression Proprietary
Algorithm
Unknown (Proprietary Telecom Encoding)
Color Depth Unknown
Developed by Comverse Network Systems (Ann McLaughlin)
Released 1999
Magic Bytes
Unknown (Proprietary)
Full CNS-INF2 reference →
JPEG-LS
image/jls
Extension
.jls.jl
Container JPEG Bitstream
Compression Lossless / Near-Lossless (Predictive Coding)
Algorithm
LOCO-I (Low Complexity Lossless Compression for Images)Golomb-Rice Coding
Color Depth 8-bit, 12-bit, 16-bit (Per Channel)
Developed by Joint Photographic Experts Group (ISO/ITU-T) & HP Labs
Released 1999
Magic Bytes
FF D8 FF F7
Full JPEG-LS reference →

Browser Support Comparison

Browser CNS-INF2 JPEG-LS
Chrome Chrome
Firefox Firefox
Safari Safari
Edge Edge
IE IE (Legacy)
CNS-INF2

CNS-INF2 Strengths

  • Historically allowed Comverse to standardize media transmission internally across their global telecom messaging platforms
Limitations
  • Completely obsolete and non-functional outside of decommissioned telecom infrastructure
  • Undocumented, closed-source binary structure
  • Zero support in modern image processing libraries like ImageMagick, libvips, or FFmpeg
JPEG-LS

JPEG-LS Strengths

  • Provides state-of-the-art lossless compression ratios for continuous-tone images, often outperforming Lossless JPEG and JPEG 2000
  • Extremely fast and computationally inexpensive to encode/decode, requiring no complex floating-point math or DCTs
  • Highly resilient in constrained hardware environments, making it ideal for medical equipment and deep-space probes (e.g., Mars rovers)
Limitations
  • Zero native support in web browsers or standard consumer operating systems
  • Lacks the advanced resolution scalability and progressive decoding features found in JPEG 2000
  • Primarily relegated to niche enterprise sectors (healthcare/DICOM and aerospace) rather than consumer adoption

When to choose which format

CNS-INF2
Use CNS-INF2 when…
  • Legacy Telecom Infrastructure
  • Historical Comverse Unified Messaging Systems
  • Proprietary Server-to-Server Media Exchange
JPEG-LS
Use JPEG-LS when…
  • Medical Imaging (DICOM Encapsulation)
  • Space and Planetary Imaging (NASA/ESA)
  • Industrial Machine Vision
  • Scientific Archival Storage
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