Convert IIQ to JXL
Max file size 100mb.
IIQ vs JXL Format Comparison
| Aspect | IIQ (Source Format) | JXL (Target Format) |
|---|---|---|
| Format Overview |
IIQ
Phase One Intelligent Image Quality RAW
IIQ is Phase One's proprietary RAW format used by their medium-format digital camera systems and digital backs. It captures unprocessed sensor data at resolutions up to 150+ megapixels with 16-bit color depth, providing the highest-quality RAW data available in commercial photography. IIQ files are the industry standard for fashion, commercial, and fine art photography. Lossless RAW |
JXL
JPEG XL
JPEG XL is a next-generation image format standardized as ISO/IEC 18181 in 2022. Its support for up to 32-bit float precision and HDR color spaces makes it uniquely suited for storing processed medium-format images with their full tonal range and color fidelity, offering compression ratios that dramatically reduce the massive file sizes typical of high-resolution photography. Lossless Modern |
| Technical Specifications |
Color Depth: 16-bit per channel (RAW Bayer/BSI data)
Compression: Lossless or lossy IIQ compression Transparency: Not applicable (sensor data) Animation: Not supported Extensions: .iiq |
Color Depth: Up to 32-bit float per channel
Compression: Lossless and lossy (VarDCT + Modular) Transparency: Full alpha channel support Animation: Native animation support Extensions: .jxl |
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| Processing & Tools |
IIQ processing with Capture One and rawpy: # Process IIQ with rawpy
import rawpy
raw = rawpy.imread('studio_shot.iiq')
rgb = raw.postprocess(
use_camera_wb=True,
output_bps=16
)
# Capture One CLI processing
captureone --process session.cos
|
JXL encoding for high-resolution images: # Lossless 16-bit encoding cjxl input_16bit.tiff output.jxl \ -q 100 -e 7 # High-quality lossy for delivery cjxl input.tiff output.jxl \ -q 95 -e 7 --num_threads=8 |
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| Version History |
Introduced: ~2005 (Phase One digital backs)
Based On: Proprietary TIFF-based RAW structure Status: Active, Phase One systems only Evolution: P-series backs → IQ series → IQ4 150MP (2018) |
Introduced: 2022 (ISO/IEC 18181)
Current Version: JPEG XL 0.10+ (libjxl reference) Status: ISO standard, adoption growing Evolution: PIK + FUIF → JPEG XL (2018) → ISO 18181 (2022) |
| Software Support |
Image Editors: Capture One (primary), Lightroom, Photoshop
Web Browsers: Not supported OS Preview: macOS (RAW plugin), Windows (limited) Mobile: Capture One for iPad CLI Tools: rawpy, LibRaw, dcraw, ExifTool |
Image Editors: GIMP 2.99+, Krita, darktable, ImageMagick 7.1+
Web Browsers: Safari 17+, Firefox (flag), Chrome (flag removed) OS Preview: macOS 14+, Windows (plugin), Linux (libraries) Mobile: iOS 17+, Android 14+ CLI Tools: cjxl/djxl (libjxl), ImageMagick, libvips |
Why Convert IIQ to JXL?
Converting IIQ to JXL addresses the critical challenge of managing extremely large medium-format RAW files. Phase One IIQ files routinely reach 80-200 MB per image — a single commercial shoot can generate terabytes of data. After processing in Capture One or Lightroom, storing the finished images as JPEG XL dramatically reduces file sizes while preserving the extraordinary detail and color fidelity that medium-format photography is known for.
JPEG XL's support for 32-bit float precision is essential for medium-format photography. Phase One sensors capture 16-bit data with exceptional dynamic range, and professional retouching workflows often operate in 16-bit or 32-bit color spaces. JXL can store these high-precision processed results without the bit-depth reduction that JPEG (8-bit) or even WebP (8-bit) would impose, ensuring that the investment in medium-format quality is preserved in the output file.
For professional photographers delivering final images to clients, JXL offers a compelling combination of quality and manageability. A 150-megapixel processed image that would be 450 MB as uncompressed TIFF can be stored as a 40-80 MB lossless JXL — or 3-8 MB in high-quality lossy mode for web delivery. This makes it practical to deliver high-resolution commercial work without the bandwidth and storage costs of TIFF or PSD files.
The progressive decoding feature of JXL is particularly valuable for medium-format images. When a client opens a 100+ megapixel JXL file, they immediately see a lower-resolution preview that refines progressively to full detail — eliminating the long wait times associated with loading massive TIFF or PSD files. This improves the client review experience and makes web-based proofing of medium-format work practical.
Key Benefits of Converting IIQ to JXL:
- Massive Size Reduction: 80-200 MB RAW → compact JXL with full quality preserved
- 16/32-bit Precision: No bit-depth loss for high-end processed output
- Progressive Preview: Instant previews of 100+ MP images without waiting
- Client Delivery: Manageable file sizes for professional deliverables
- ISO Standard: Long-term archival guarantee for valuable commercial work
- HDR Support: Preserves extreme dynamic range from medium-format sensors
- Wide Gamut: Full color gamut preservation with ICC profile support
Practical Examples
Example 1: Fashion Editorial Delivery to Magazine
Scenario: A fashion photographer shot 400 frames on a Phase One IQ4 150MP for a magazine editorial. After retouching the 20 final selects in Capture One, they need to deliver high-resolution files to the art director.
Source: editorial_look_07.iiq (180 MB, 14204x10652px, 16-bit) Processing: Capture One → color grade, skin retouch, crop Conversion: Processed IIQ → JXL (lossless, 16-bit) Result: editorial_look_07.jxl (38 MB, 14204x10652px) Delivery workflow: ✓ 20 selects: 3.6 GB processed → 760 MB JXL (79% smaller) ✓ 16-bit color depth preserved for magazine print production ✓ Progressive decode enables instant client preview ✓ Transfer via cloud: 760 MB uploads in minutes vs hours ✓ Art director can view on any platform (not Phase One specific)
Example 2: Fine Art Photography Archive
Scenario: A fine art photographer has 15 years of medium-format work totaling 8 TB of IIQ files. They need to create a processed archive of their 5,000 best images in a format that will be accessible for decades.
Source: landscape_dawn_series_012.iiq (120 MB, 100MP, 16-bit) Processing: Capture One → master color grade, fine adjustments Conversion: Processed IIQ → JXL (lossless, 16-bit, effort 9) Result: landscape_dawn_series_012.jxl (28 MB, lossless) Archive statistics (5,000 images): ✓ Processed originals: 600 GB → 140 GB JXL (77% reduction) ✓ Every pixel preserved in lossless compression ✓ ISO 18181 standard guarantees decades of readability ✓ Single external SSD replaces multiple drives ✓ Metadata and ICC profiles fully preserved
Example 3: Architectural Photography for Client Portal
Scenario: An architectural photographer needs to upload 100+ MP interior shots to a client web portal where the architect can zoom into construction details, requiring both high resolution and fast loading.
Source: penthouse_living_003.iiq (150 MB, 11608x8708px, 16-bit) Processing: Capture One → perspective correction, HDR merge Conversion: Processed IIQ → JXL (quality 92, effort 7) Result: penthouse_living_003.jxl (4.2 MB, 11608x8708px) Web portal benefits: ✓ 150 MB → 4.2 MB (97% reduction for web delivery) ✓ Progressive decode: preview in 200ms, full detail on zoom ✓ Architect can inspect construction details at full resolution ✓ 100 images × 4.2 MB = 420 MB total (vs 15 GB as TIFF) ✓ HDR data preserved for compatible HDR displays
Frequently Asked Questions (FAQ)
Q: Can JXL handle the full resolution of Phase One 150MP sensors?
A: Yes. JPEG XL has no practical resolution limit — the maximum is over 1 billion pixels per dimension. A 150-megapixel Phase One IQ4 image (14204x10652) is well within JXL's capabilities. The format's progressive decoding and efficient compression are specifically designed to handle very large images gracefully.
Q: Will I lose the 16-bit color depth when converting IIQ to JXL?
A: No. JXL supports up to 32-bit float per channel, which more than accommodates 16-bit integer data from Phase One sensors. When using lossless encoding, the 16-bit processed output is preserved exactly. This is a major advantage over JPEG (8-bit) and WebP (8-bit), which would require downsampling the color depth.
Q: How does JXL compare to TIFF for medium-format image storage?
A: JXL lossless compression is dramatically more efficient than TIFF's LZW or ZIP compression for photographic images. A 16-bit TIFF that is 400 MB typically compresses to 30-80 MB as lossless JXL — a 5-13x reduction with zero quality loss. JXL also adds progressive decoding, which TIFF lacks, making it far more practical for previewing large files.
Q: Should I keep IIQ files after converting to JXL?
A: Keep the original IIQ files if you might need to reprocess from RAW in the future — JXL stores the processed result, not the original sensor data. However, if your processing is finalized and you have Capture One session files, the JXL output contains the complete processed image. Many professionals keep both: IIQ for reprocessing potential, JXL for the finished archive.
Q: How long does conversion take for 150MP images?
A: RAW demosaicing of a 150MP IIQ file takes 10-30 seconds depending on hardware. JXL encoding adds 15-60 seconds at moderate effort (5-7) or 2-5 minutes at maximum effort (9). Total conversion time for one image is typically 30 seconds to 6 minutes. For large batches, using moderate effort with multi-threading provides the best speed-quality balance.
Q: Can print shops work with JXL files?
A: Most print shops currently accept TIFF and JPEG as primary formats. While JXL adoption in the print industry is growing, you may need to convert JXL to TIFF for print production. However, storing your archive as JXL and converting to TIFF on demand is more efficient than maintaining a full TIFF archive. The JXL-to-TIFF conversion is fast and lossless.
Q: Does JXL support the wide color gamuts used in medium-format photography?
A: Yes, JXL has best-in-class color management. It supports ICC profiles, the full Rec. 2020/2100 color space, and custom transfer functions. Phase One cameras typically capture in wide gamuts that exceed sRGB, and JXL preserves these color spaces through ICC profile embedding. The format can represent any color gamut your medium-format sensor can capture.
Q: Is JXL suitable for museum-quality fine art reproduction archives?
A: Yes. JXL's lossless mode with 16-bit or 32-bit precision meets the requirements for archival-quality image storage. The ISO 18181 standardization provides the institutional backing that museums and archives require for long-term format stability. JXL's compression efficiency makes it practical to store massive fine art reproduction files that would be prohibitively large as uncompressed TIFF.