Free webp to jpg
Image MIME Reference
JXL

JPEG XL

image/jxl
VS

PCO B16 Image

image/vnd.pco.b16
PCO-B16

A complete technical comparison of JPEG XL and PCO B16 Image — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.

JXL wins on browser support

Feature Support

Feature JXL PCO-B16
Transparency (Alpha) Yes ✕ No
Animation Support Yes ✕ No
Progressive Loading Yes ✕ No
HDR Support Yes ✕ No
EXIF Metadata Yes ✕ No
ICC Color Profile Yes ✕ No
JPEG XL
image/jxl
Extension
.jxl
Container ISOBMFF / JPEG XL Codestream
Compression Lossy (VarDCT) / Lossless (Modular)
Algorithm
VarDCT (Variable block-size DCT)Modular (Predictive coding for lossless)
Color Depth 8-bit, 10-bit, 12-bit, 16-bit, 32-bit (Float)
Developed by Joint Photographic Experts Group (JPEG)
Released 2021
Magic Bytes
FF 0A (Codestream) / 00 00 00 0C 4A 58 4C 20 0D 0A 87 0A (Container)
Full JXL reference →
PCO B16 Image
image/vnd.pco.b16
Extension
.b16
Container PCO B16 Binary Container
Compression Uncompressed (Raw Sensor Data)
Algorithm
None
Color Depth 16-bit (Monochrome or Bayer Raw Color)
Developed by PCO AG (Excelitas PCO GmbH)
Released Early 2000s
Magic Bytes
50 43 4F 2D
Full PCO-B16 reference →

Browser Support Comparison

Browser JXL PCO-B16
Chrome Chrome
Firefox Firefox
Safari Safari
✓ 17+
Edge Edge
IE IE (Legacy)
JXL

JXL Strengths

  • Capable of losslessly recompressing legacy JPEG files, saving ~20% space while retaining perfect byte-for-byte restorability
  • Highly superior progressive decoding (Saliency-driven), allowing recognizable images to load extremely fast on slow connections
  • Outperforms WebP and competes favorably with AVIF, especially at high-fidelity settings and for complex textures/photography
  • Royalty-free with an open-source reference implementation (libjxl)
Limitations
  • Google's removal of JXL support from Chrome severely hindered its adoption as a universal web standard
  • Lack of hardware decoding chips compared to video-derived codecs like AVIF (AV1)
  • File parsing logic is complex due to the split between raw codestreams and ISOBMFF containers
PCO-B16

PCO-B16 Strengths

  • Preserves exact, uncompressed 16-bit raw sensor data, which is critically important for accurate scientific measurements, fluorescence microscopy, and photometry
  • The simple, linear struct header is highly predictable and easy to parse in custom Python, MATLAB, or C++ scripts for researchers building bespoke pipelines
Limitations
  • Generates massive file sizes due to the complete lack of image compression [1.3.1]
  • Completely unsupported by standard operating systems, web browsers, and consumer image editing suites
  • Strictly tied to the hardware and software ecosystems of a single camera manufacturer

When to choose which format

JXL
Use JXL when…
  • High-End Web Delivery (via Safari/Polyfills)
  • HDR Photography
  • Legacy JPEG Archiving
  • Digital Art & Image Storage
PCO-B16
Use PCO-B16 when…
  • Microscopy and Life Sciences
  • High-Speed Camera Recording
  • Machine Vision and Industrial Inspection
  • Scientific Photometry
Share this comparison