Convert IIQ to HDR
Max file size 100mb.
IIQ vs HDR Format Comparison
| Aspect | IIQ (Source Format) | HDR (Target Format) |
|---|---|---|
| Format Overview |
IIQ
Phase One Intelligent Image Quality RAW
A proprietary RAW format used by Phase One medium format camera systems, including the IQ digital backs and XF camera bodies. IIQ stands for "Intelligent Image Quality" and stores unprocessed sensor data from some of the highest-resolution sensors available in digital photography (up to 151 MP). Phase One systems are the industry standard for commercial photography, aerial survey, cultural heritage documentation, and any application demanding the absolute maximum in image quality and dynamic range. RAW Lossless |
HDR
Radiance RGBE High Dynamic Range
A high dynamic range image format developed by Greg Ward in 1985 for the Radiance lighting simulation system. HDR uses RGBE (Red, Green, Blue, Exponent) encoding to store 32-bit floating-point color values per channel, capturing luminance ranges far beyond what standard 8-bit formats can represent. It is the foundational format for HDR imaging in 3D rendering, architectural visualization, and physically-based lighting environments where accurate light transport is essential. Lossless Standard |
| Technical Specifications |
Color Depth: 16-bit per channel (RAW sensor data)
Compression: Lossless or lossy IIQ compression Transparency: Not applicable (sensor data) Animation: Not supported Extensions: .iiq |
Color Depth: 32-bit float per channel (RGBE encoding)
Compression: Run-length encoding (RLE) Transparency: Not supported Animation: Not supported Extensions: .hdr, .pic |
| Image Features |
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| Processing & Tools |
IIQ processing with Capture One and rawpy: # Process IIQ with rawpy (Python)
import rawpy
raw = rawpy.imread('capture.iiq')
rgb = raw.postprocess(
use_camera_wb=True,
output_bps=16,
no_auto_bright=True
)
# Capture One Pro (native, recommended)
# File → Process Recipes → TIFF 16-bit
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HDR creation and tone mapping tools: # Convert to HDR with ImageMagick
magick input.tiff -depth 32 output.hdr
# Tone map HDR for viewing
magick input.hdr -evaluate Multiply 0.5 \
-depth 8 preview.png
# Read HDR with OpenCV
import cv2
hdr = cv2.imread('scene.hdr', cv2.IMREAD_ANYDEPTH)
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| Version History |
Introduced: Mid-2000s (Phase One)
Current Version: IIQ L/S (lossless/small, current) Status: Active, industry-leading medium format Evolution: P-series backs → IQ1 → IQ2 → IQ3 → IQ4 (151 MP, current) |
Introduced: 1985 (Greg Ward, Lawrence Berkeley Lab)
Current Version: Radiance RGBE (1985, unchanged) Status: Stable, industry standard for HDR imaging Evolution: Radiance HDR (1985) → widely adopted in 3D/VFX industry (1990s–present) |
| Software Support |
Image Editors: Capture One Pro, Lightroom, Photoshop
Web Browsers: Not supported (RAW format) OS Preview: Limited (requires Capture One or codec) Aerial Tools: iX Capture, Trimble, Pix4D CLI Tools: rawpy, dcraw, LibRaw, Capture One CLI |
Image Editors: Photoshop, GIMP, Affinity Photo, Luminance HDR
Web Browsers: Not supported natively OS Preview: Requires dedicated HDR viewer 3D Software: Blender, 3ds Max, Maya, Unity, Unreal Engine CLI Tools: ImageMagick, OpenCV, Radiance tools, Pillow |
Why Convert IIQ to HDR?
Converting IIQ to HDR harnesses the extraordinary dynamic range and resolution of Phase One medium format sensors to produce the finest quality HDR images achievable from photographic capture. Phase One IQ backs deliver 15+ stops of dynamic range with 16-bit precision and virtually noise-free shadows, making IIQ files the premier source material for creating HDR environment maps, calibrated luminance imagery, and high-fidelity floating-point photographs that serve as lighting references for the most demanding VFX and architectural visualization projects.
The combination of Phase One's industry-leading sensor technology with HDR's floating-point encoding creates images that approach the quality of dedicated HDR measurement systems. Commercial VFX studios like ILM, Weta, and Framestore use Phase One cameras to capture on-set lighting environments precisely because the IIQ data, when converted to HDR, provides reliable luminance information for matching CG elements to live-action plates. The 15+ stops of clean dynamic range mean that a single IIQ exposure can capture enough range for usable IBL in many lighting scenarios.
For aerial survey and cartographic applications, IIQ-to-HDR conversion preserves the radiometric accuracy of Phase One aerial camera captures. The iXM and iXH aerial cameras produce IIQ files that, when converted to HDR, maintain the linear relationship between pixel values and ground radiance. This is critical for remote sensing applications including agriculture monitoring, environmental assessment, and terrain analysis where quantitative light measurements from aerial imagery inform decision-making.
The conversion process must handle IIQ's extremely high resolution files efficiently — a 151 MP IIQ file produces an HDR file approaching 600 MB. Linear demosaicing without tone curves preserves the full sensor range, and Phase One's proprietary color profiles can be applied for accurate color reproduction. For maximum fidelity, use Capture One Pro to process the IIQ file to 16-bit TIFF before converting to HDR, as Capture One has the most refined demosaicing algorithms for Phase One sensor data.
Key Benefits of Converting IIQ to HDR:
- Maximum Dynamic Range: 15+ stops from the industry's best medium format sensors
- Studio-Grade IBL: Premium environment maps for Hollywood-level VFX
- Ultra-High Resolution: Up to 151 MP for the most detailed HDR images
- Radiometric Accuracy: Linear sensor data suitable for calibrated measurements
- Noise-Free Shadows: Clean data across the entire dynamic range
- Aerial Survey Compatibility: HDR preserves radiometric data for remote sensing
- Universal Output: HDR format compatible with all professional 3D and VFX tools
Practical Examples
Example 1: VFX On-Set HDR Light Probe
Scenario: A VFX studio photographs a film set with a Phase One IQ4 150 on a panoramic head to create the definitive HDR lighting reference for matching CG characters to live-action footage.
Source: onset_probe_A.iiq (280 MB, 14204x10652px, 16-bit) Conversion: IIQ → HDR (linear, 15.3 stops preserved) Result: onset_probe_equirect.hdr (600 MB, 16384x8192px) VFX workflow: 1. Capture panoramic IIQ brackets on set (+/- 6 stops) 2. Merge and convert to HDR equirectangular 3. Use as master IBL in Arnold renderer for CG integration ✓ Practical lights on set captured at true brightness ✓ Bounce light from walls and ceiling preserved ✓ Shadow detail noise-free for clean ambient occlusion ✓ CG characters perfectly match on-set lighting
Example 2: Aerial Survey Radiance Mapping
Scenario: An environmental scientist uses a Phase One iXM-RS150F aerial camera to capture agricultural fields and needs HDR images for crop health analysis based on reflected radiance measurements.
Source: aerial_field_0042.iiq (250 MB, 14204x10652px, 16-bit) Conversion: IIQ → HDR (linear, radiometrically calibrated) Result: aerial_field_0042.hdr (600 MB, 14204x10652px) Remote sensing workflow: ✓ Linear pixel values proportional to ground radiance ✓ Crop vigor index calculated from HDR reflectance values ✓ Irrigated vs dry areas distinguished by radiance differences ✓ Temporal comparison between HDR captures over growing season ✓ Compatible with GIS analysis tools that read HDR format
Example 3: Museum Art Reproduction for Virtual Gallery
Scenario: A museum photographs their collection with a Phase One IQ4 for a virtual gallery project, requiring HDR conversions so paintings can be displayed with accurate lighting interaction in the 3D virtual exhibition space.
Source: painting_rembrandt_001.iiq (300 MB, 151 MP, 16-bit) Conversion: IIQ → HDR (museum color profile, linear) Result: painting_rembrandt_001.hdr (600 MB, 14204x10652px) Virtual gallery workflow: 1. Convert IIQ to HDR preserving full tonal range 2. Apply as texture on canvas geometry in virtual gallery 3. Simulated gallery lighting reveals oil paint surface detail ✓ Impasto texture visible under directional virtual spotlights ✓ Dark shadow passages preserved without noise ✓ 151 MP resolution allows extreme close-up examination ✓ Visitors experience paintings under optimized lighting
Frequently Asked Questions (FAQ)
Q: Which Phase One cameras produce IIQ files?
A: IIQ is used by Phase One IQ digital backs (IQ1, IQ2, IQ3, IQ4 series), XF and XT camera bodies, iXM and iXH aerial cameras, and legacy P+ and P series digital backs. Current flagship models include the IQ4 150MP (151 megapixels) and IQ4 Achromatic (100 MP monochrome). All produce IIQ files in either lossless (IIQ L) or compressed (IIQ S) variants.
Q: How does IIQ's 15+ stops compare to other RAW formats for HDR?
A: Phase One IQ backs deliver the highest measured dynamic range of any digital camera system. By comparison, full-frame DSLRs typically achieve 13-14 stops, and APS-C sensors reach 12-13 stops. The extra 1-2 stops from Phase One sensors translate to cleaner shadow recovery and higher highlight headroom, producing HDR files with genuinely more usable tonal range from a single exposure.
Q: Should I use Capture One or rawpy for the conversion?
A: Capture One Pro is the recommended choice for Phase One IIQ files because it uses the most refined demosaicing algorithms specifically tuned for Phase One sensors. It produces the sharpest detail and most accurate color. For batch automated workflows, rawpy (LibRaw) provides good results and is scriptable. For calibrated radiometric work, rawpy with linear output and no auto-processing is preferred.
Q: How large are the resulting HDR files from 151 MP IIQ sources?
A: A 151 MP IIQ file (14204x10652 pixels) produces an HDR file of approximately 600 MB with RGBE encoding. This is manageable for modern workstations but requires attention to storage and memory. Processing 151 MP HDR files requires at least 32 GB RAM, and 64 GB is recommended. For projects with many IIQ-to-HDR conversions, plan for significant storage capacity.
Q: What is the difference between IIQ L and IIQ S formats?
A: IIQ L (Large) is the lossless compression variant that preserves every bit of sensor data. IIQ S (Small) uses lossy compression to reduce file sizes by approximately 40-60% with visually negligible quality loss. For maximum HDR quality, IIQ L is preferred as it provides the purest sensor data. IIQ S is suitable for most practical applications where the slight compression is invisible.
Q: Can Phase One aerial IIQ files be georeferenced after HDR conversion?
A: The HDR format does not store geospatial metadata. GPS coordinates, flight altitude, camera orientation, and other georeferencing data from the aerial IIQ file are lost during conversion. For GIS and mapping workflows, extract the georeferencing metadata before conversion and maintain it in a sidecar file or database. The HDR image can then be georeferenced using the extracted coordinates in your GIS software.
Q: Is HDR or EXR better for VFX work with Phase One captures?
A: For single-layer IBL environment maps, HDR is more widely compatible and produces smaller files. For VFX pipeline integration requiring multiple channels (beauty, depth, normals) or layer compositing, OpenEXR is more capable. Note that HDR's RGBE encoding provides approximately 10 bits of mantissa precision, which is less than IIQ's 16-bit source. For absolute maximum precision from Phase One data, use EXR with 16-bit half-float or 32-bit full-float encoding.
Q: Can I downsize the IIQ before converting to save disk space?
A: Yes — for IBL and environment maps, 8192x4096 or 16384x8192 is typically sufficient, far below the 151 MP native resolution. Downsampling in Capture One before exporting to TIFF, then converting to HDR, produces much more manageable file sizes (50-200 MB instead of 600 MB). Only preserve full 151 MP resolution for texture applications where extreme detail is needed, such as museum reproduction or large-format print master files.