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If a wide-gamut image looks washed out after conversion in Go, first check how the source colour space was identified and whether that information survived decoding. Pixel channel values alone do not say whether they represent sRGB, Display P3 or Adobe RGB. Treating wide-gamut values as sRGB can reduce saturation; assigning an sRGB label without transforming the values is not a conversion.
Why a wide-gamut image can lose saturation
Go’s image and image/color packages provide image geometry, colour models and pixel colour values. They do not, by themselves, guarantee a complete ICC-aware workflow or prove that an embedded source profile remains attached to decoded pixels. A Go color.Color can be converted through RGBA values, and some conversions are lossy. See the Go image package overview.
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Colour channel values need a colour-space interpretation. If values encoded for a wider gamut are read as though they were sRGB, the resulting rendering can appear less saturated. The prism project documentation describes this kind of misinterpretation and discusses ICC profile extraction and colour conversion. Its documentation is a project capability description, not independent validation; check the version and format support you plan to use.
How to diagnose the conversion
- Inspect the original profile. Determine whether the file includes an ICC profile or other colour-space metadata, and record the exact source model or profile, such as Display P3 or Adobe RGB. Check what the decoder returns and whether it exposes that information. prism describes extracting ICC metadata from PNG, JPEG and WebP; verify support for the library version and formats in your pipeline.
- Trace profile information through decoding. A generic
image.Imagevalue does not establish that the original ICC profile is still associated with its pixels. Inspect the metadata at each boundary between decode, processing and encode. The standard package interfaces describe colours and models, not complete profile retention; the Go image/draw overview covers drawing and image operations, not a guarantee of ICC-aware colour management. - Transform from the actual source space. Convert source values from the profile that describes them into the intended destination space. Do not just attach a destination label to unchanged or incorrectly interpreted values. The versioned go-image/v2 colour package documentation lists distinct models, including sRGB, Adobe RGB and Display P3, and documents conversion helpers. Confirm the exact API behaviour for the version you use.
- Choose how to handle out-of-gamut colours. A wider source gamut can contain colours that the destination cannot represent. Test highly saturated samples separately from in-gamut colours and select an explicit policy, such as clipping or another documented gamut-mapping approach. A colour-space conversion does not necessarily mean that a particular gamut-mapping policy is applied automatically; consult the relevant package documentation, including honnef.co/go/color.
- Check the encoded output and its profile. Where the encoder supports it, preserve or set metadata that correctly identifies the destination space. Reopen the output in a colour-managed viewer and inspect both the pixel values and the embedded profile. Do not label transformed values with the wrong destination profile.
- Compare viewers and displays. View the same output in another colour-managed application and check the display’s colour mode. Apple’s colour guidance notes that P3 wide-colour displays can show richer, more saturated colours than sRGB displays. A difference between viewers or displays does not, on its own, prove the file conversion is wrong.
Match the symptom to the likely cause
| What to check | What may be happening | Useful test |
|---|---|---|
| Source profile versus decoder interpretation | Wide-gamut channel values may be assumed to be sRGB, causing reduced saturation or a colour cast. | Compare a known pixel interpreted under each plausible source profile. |
| Metadata at pipeline boundaries | Pixel values may remain unchanged while profile information is discarded, leaving the viewer without the information needed for interpretation. | Inspect profile metadata after decoding, processing and encoding; do not infer its retention from the image.Image interface alone. |
| Transform and destination label | The output may be relabelled without transforming values, or transformed values may be assigned the wrong destination profile. | Use a known colour reference and inspect both output values and embedded profile. |
| Destination gamut | Some source colours may fall outside the narrower output gamut. | Compare saturated samples with in-gamut samples and document the chosen mapping behaviour. |
| Viewer or display | A correctly encoded file may render differently in an unmanaged viewer or under a different display mode. | Compare colour-managed applications and confirm the display configuration. |
Keep alpha artefacts separate from global desaturation
If the problem appears mainly as pale or dark fringes around transparent edges after resizing or blending, investigate alpha handling and filtering separately. Premultiplication and filtering can affect edge pixels; that is different from a uniform loss of saturation across opaque image areas. Compare opaque samples with the alpha edges before changing the colour-space conversion.
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What to compare when choosing a Go colour workflow
The standard image packages are core abstractions for pixels and geometry. The versioned go-image/v2/colour documentation describes colour models and helpers, while prism documents ICC extraction and conversion utilities. These are different capability claims, not an exhaustive or controlled comparison of libraries. For the dependency version you intend to use, check:
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- Which input formats can expose ICC profiles and other colour-space metadata.
- Which source and destination spaces are supported.
- Whether an API performs a colour transform or only interprets values under a model.
- How out-of-gamut values are handled, and whether gamut mapping is automatic.
- How alpha, high bit depth and metadata preservation are treated.
- Whether the version and API are maintained and stable enough for your application.
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