Gamut

Gamut (DUB package: gamut) is an image decoding/encoding library for D.

Inspired by the FreeImage design, the Image concept is monomorphic and can do it all.

Gamut tries to have the fastest and most memory-conscious image decoders available in pure D code. It is nothrow @nogc @safe for usage in -betterC and in disabled-runtime D.

Decoding

PNG: 8-bit and 16-bit, L/LA/RGB/RGBA
JPEG: 8-bit, L/RGB/RGBA, baseline and progressive
JPEG XL: 8-bit, RGB (no alpha support), encoded with cjxl -e 4 or lower
TGA: 8-bit, indexed, L/LA/RGB/RGBA
GIF: indexed, animation support
BMP: indexed 1/4/8-bit no-RLE, 8-bit RGB/RGBA
QOI: 8-bit, RGB/RGBA
QOIX: 8-bit, 10-bit, L/LA/RGB/RGBA. Improvement upon QOI. This format may change between major Gamut tags, so is not a storage format.

Encoding

PNG. 8-bit, 16-bit, L/LA/RGB/RGBA
JPEG: 8-bit, greyscale/RGB, baseline
TGA: 8-bit, RGB/RGBA
GIF: 8-bit, RGBA, animation support
BMP: 8-bit, RGB/RGBA
QOI: 8-bit, RGB/RGBA
QOIX: 8-bit, 10-bit, L/LA/RGB/RGBA, premultiplied alpha
DDS: BC7 encoded, 8-bit, RGB/RGBA

Changelog

v3 Added premultiplied alpha pixel types. BREAKING.
- Decoders are now allowed to return any type if you do not specify LOAD_PREMUL or LOAD_NO_PREMUL. Update your loading code.
- Introduce image.premultiply() and image.unpremultiply().
- QOIX supports encoding premultiplied. Saves space and decoding times for transparent overlays.
v2.6 Added JPEG XL input. 8-bit, no alpha, cjxl --effort 4 or lower, raw streams not ISO BMFF.
v2.5 Added BMP input.
v2.4 Added BMP output.
v2.3 Added GIF input and GIF output. Added multilayer images.
v2.2 Added 16-bit PNG output.
v2.1 Added TGA format support.
v2 QOIX bitstream changed. Ways to disown and deallocate image allocation pointer. It's safe to update to latest tag in the same major version. Do keep a 16-bit source in case the bitstream changes.
v1 Initial release.

Why QOIX?

Our benchmark results for 8-bit color images:

Codec	decode mpps	encode mpps	bit-per-pixel
PNG (stb)	89.73	14.34	10.29693
QOI	201.9	150.8	10.35162
QOIX	179.0	125.0	7.93607

QOIX and QOI generally outperforms PNG in decoding speed and encoding speed.
QOIX outperforms QOI in compression efficiency at the cost of speed:
- because it's based upon better intra predictors
- because it is followed by LZ4, which removes some of the QOI worst cases.
QOIX adds support for 8-bit greyscale and greyscale + alpha images, with a "QOI-plane" custom codec.
QOIX adds support for 10-bit images, with a "QOI-10b" custom codec. It drops the last 6 bits of precision (lossy) to outperform PNG 16-bit in every way for some use cases.
QOIX support for premultiplied alpha brings even more speed and compression for transparent images.

Use the convert tool to encode QOIX.

Gamut API documentation

1. `Image` basics

Key concept: The Image struct is where most of the public API resides.

1.1 Get the dimensions of an image:

Image image = Image(800, 600);
int w = image.width();
int h = image.height();
assert(w == 800 && h == 600);

1.2 Get the pixel format of an image:

Image image = Image(800, 600);
PixelType type = image.type();
assert(type == PixelType.rgba8); // rgba8 is default if not provided

Key concept: PixelType completely describes the pixel format, for example PixelType.rgb8 is a 24-bit format with one byte for red, green and blue components each (in that order). Nothing is specified about the color space though.

Here are the possible PixelType:

enum PixelType
{
    l8,
    l16,
    lf32,
    
    la8,
    la16,
    laf32,
    lap8,
    lap16,
    lapf32,

    rgb8, 
    rgb16,
    rgbf32,

    rgba8,
    rgba16,
    rgbaf32
    rgbap8,
    rgbap16,
    rgbapf32
}

For now, all pixels format have one to four components:

1 component is implicitely Greyscale
2 components is implicitely Greyscale + alpha
3 components is implicitely Red + Green + Blue
4 components is implicitely Red + Green + Blue + Alpha

Bit-depth: Each of these components can be represented in 8-bit, 16-bit, or 32-bit floating-point (0.0f to 1.0f range).

Alpha premultiplication: When an alpha channel exist, both premultiplied and non-premultiplied variants exist.

1.3 Create an image:

Different ways to create an Image:

create() or regular constructor this() creates a new owned image filled with zeros.

createNoInit() or setSize() creates a new owned uninitialized image.

createView() creates a view into existing data.

createNoData() creates a new image with no data pointed to (still has a type, size...).

// Create with transparent black.
Image image = Image(640, 480, PixelType.rgba8); 
image.create(640, 480, PixelType.rgba8);

// Create with no initialization.
image.setSize(640, 480, PixelType.rgba8);
image.createNoInit(640, 480, PixelType.rgba8);

// Create view into existing data. Existing data is borrowed.
image.createView(data.ptr, w, h, PixelType.rgb8, pitchbytes);

At creation time, the Image forgets about its former life, and leaves any isError() state or former data/type
Image.init is in isError() state
isValid() can be used instead of !isError()
Being valid == not being error == having a PixelType

2. Loading and saving an image

2.1 Load an `Image` from a file:

Another way to create an Image is to load an encoded image.

Image image;
image.loadFromFile("logo.png");
if (image.isError)
    throw new Exception(image.errorMessage);

You can then read width(), height(), type(), etc...

There is no exceptions in Gamut. Instead the Image itself has an error API:

bool isError() return true if the Image is in an error state. In an error state, the image can't be used anymore until recreated (for example, loading another file).

const(char)[] errorMessage() is then available, and is guaranteed to be zero-terminated with an extra byte.

2.2 Load an image from memory:

auto pngBytes = cast(const(ubyte)[]) import("logo.png"); 
Image image;
image.loadFromMemory(pngBytes);
if (!image.isValid) 
    throw new Exception(image.errorMessage());

Key concept: You can force the loaded image to be a certain type using LoadFlags, or call convertTo() after load.

Here are the possible LoadFlags:

LOAD_NORMAL      // Default: preserve type from original.

LOAD_ALPHA       // Force one alpha channel.
LOAD_NO_ALPHA    // Force zero alpha channel.

LOAD_GREYSCALE   // Force greyscale.
LOAD_RGB         // Force RGB values.

LOAD_8BIT        // Force 8-bit `ubyte` per component.
LOAD_16BIT       // Force 16-bit `ushort` per component.
LOAD_FP32        // Force 32-bit `float` per component.

LOAD_PREMUL      // Force premultiplied alpha representation (if alpha exists)
LOAD_NO_PREMUL   // Force non-premultiplied alpha representation (if alpha exists)

Example:

Image image;  
image.loadFromMemory(pngBytes, LOAD_RGB | LOAD_ALPHA | LOAD_8BIT | LOAD_NO_PREMUL);  // force PixelType.rgba8

Not all load flags are compatible, for example LOAD_8BIT and LOAD_16BIT cannot be used together.

2.3 Convert to another `PixelType`:

However, load flags are not the only way to select a PixelType, you can provide one explicitely with convertTo.

// Convert to grey + one alpha channel, 16-bit
image.convertTo(PixelType.la16); 

// Convert to RGB + one alpha channel, 8-bit
image.convertTo(PixelType.rgba8);

2.4 Save an image to a file:

Image image;
if (!image.saveToFile("output.png"))
    throw new Exception("Writing output.png failed");

Key concept: ImageFormat is simply the codecs/containers files Gamut encode and decodes to.

enum ImageFormat
{
    unknown,
    JPEG,
    PNG,
    QOI,
    QOIX,
    DDS,
    TGA,
    GIF,
    JXL
}

This can be used to avoid inferring the output format from the filename:

Image image;
if (!image.saveToFile(ImageFormat.PNG, "output.png"))
    throw new Exception("Writing output.png failed");

2.5 Save an image to memory:

Image image;
ubyte[] qoixEncoded = image.saveToMemory(ImageFormat.QOIX);
scope(exit) freeEncodedImage(qoixEncoded);

The returned slice must be freed up with freeEncodedImage.

2.6 Convert an image to QOIX for faster load

  Image image;
  image.loadFromFile("input.png");
  image.saveToFromFile("output.qoix"); // .qoix loads faster

3. Accessing image pixels

3.1 Get the row pitch, in bytes:

int pitch = image.pitchInBytes();

Key concept: The image pitch is the distance between the start of two consecutive scanlines, in bytes. IMPORTANT: This pitch can be negative.

3.2 Access a row of pixels:

void* scan = image.scanptr(y);  // get pointer to start of pixel row
void[] row = image.scanline(y); // get slice of pixel row

Key concept: The scanline is void* because the type it points to depends upon the PixelType. In a given scanline, the bytes scan[0..abs(pitchInBytes())] are all accessible, even if they may be outside of the image (trailing pixels, gap bytes for alignment, border pixels).

3.3 Iterate on pixels:

assert(image.type == PixelType.rgba16);
assert(image.hasData());
for (int y = 0; y < image.height(); ++y)
{
    ushort* scan = cast(ushort*) image.scanptr(y);
    for (int x = 0; x < image.width(); ++x)
    {
        ushort r = scan[4*x + 0];
        ushort g = scan[4*x + 1];
        ushort b = scan[4*x + 2];
        ushort a = scan[4*x + 3];
    }
}

Key concept: The default is that you do not access pixels in a contiguous manner. See 4. for layout constraints that allow you to get all pixels at once.

3.4 Process pixels:

Here is how to process pixels of an rgba8 image in-place.

void liftGammaGain(ref Image image, 
                   float lift,  // 0 to 1
                   float gamma, 
                   float gain)
{
    assert(image.type == PixelType.rgba8);
    assert(image.hasData());
    for (int y = 0; y < image.height(); ++y)
    {
        byte* scan = cast(ubyte*) image.scanptr(y);
        for (int x = 0; x < image.width(); ++x)
        {
            float r = scan[4*x + 0] / 255.0f;
            float g = scan[4*x + 1] / 255.0f;
            float b = scan[4*x + 2] / 255.0f;
            float a = scan[4*x + 3] / 255.0f;
            r = (gain * (r + lift * (1-r)))^(1/gamma);
            g = (gain * (g + lift * (1-r)))^(1/gamma);
            b = (gain * (b + lift * (1-r)))^(1/gamma);
            if (r < 0) r = 0;
            if (g < 0) g = 0;
            if (b < 0) b = 0;
            if (r > 1) r = 1;
            if (g > 1) g = 1;
            if (b > 1) b = 1;
            scan[4*x+0] = cast(ubyte)(r * 255);
            scan[4*x+1] = cast(ubyte)(g * 255);
            scan[4*x+2] = cast(ubyte)(b * 255);
        }
    }
}

Key concept: .scanptr() pointers are untyped.

4. Layout constraints

One of the most interesting feature of Gamut! Images in Gamut can follow given constraints over the data layout.

Key concept: LayoutConstraint are carried by images all their life.

Example:

// Do nothing in particular.
LayoutConstraint constraints = LAYOUT_DEFAULT; // 0 = default

// Layout can be given directly at image creation or afterwards.
Image image;  
image.loadFromMemory(pngBytes, constraints); 

// Now the image has a 1 pixel border (at least).
// Changing the layout only reallocates if needed.
image.setLayout(LAYOUT_BORDER_1);

// Those layout constraints are preserved.
// (but: not the excess bytes content, if reallocated)
image.convertToGreyscale();
assert(image.layoutConstraints() == LAYOUT_BORDER_1);

Important: Layout constraints are about the minimum guarantee you want. Your image may be more constrained than that in practice, but you can't rely on that.

If you don't specify LAYOUT_VERT_STRAIGHT, you should expect your image to be possibly stored upside-down, and account for that possibility.
If you don't specify LAYOUT_SCANLINE_ALIGNED_16, you should not expect your scanlines to be aligned on 16-byte boundaries, even though that can happen accidentally.

Beware not to accidentally reset constraints when resizing:

// If you do not provide layout constraints, 
// the one choosen is 0, the most permissive.
image.setSize(640, 480, PixelType.rgba8, LAYOUT_TRAILING_3);

4.1 Scanline alignment

Scanline alignment guarantees minimum alignment of each scanline.

LAYOUT_SCANLINE_ALIGNED_1 = 0
LAYOUT_SCANLINE_ALIGNED_2
LAYOUT_SCANLINE_ALIGNED_4
LAYOUT_SCANLINE_ALIGNED_8
LAYOUT_SCANLINE_ALIGNED_16
LAYOUT_SCANLINE_ALIGNED_32
LAYOUT_SCANLINE_ALIGNED_64
LAYOUT_SCANLINE_ALIGNED_128

4.2 Layout multiplicity

Multiplicity guarantees access to pixels 1, 2, 4 or 8 at a time. It does this with excess pixels at the end of the scanline, but they need not exist if the scanline has the right width.

LAYOUT_MULTIPLICITY_1 = 0
LAYOUT_MULTIPLICITY_2
LAYOUT_MULTIPLICITY_4
LAYOUT_MULTIPLICITY_8

Together with scanline alignment, this allow processing a scanline using aligned SIMD without processing the last few pixels differently.

4.3 Trailing pixels

Trailing pixels gives you up to 7 excess pixels after each scanline.

LAYOUT_TRAILING_0 = 0
LAYOUT_TRAILING_1
LAYOUT_TRAILING_3
LAYOUT_TRAILING_7

Allows unaligned SIMD access by itself.

4.4 Pixel border

Border gives you up to 3 excess pixels around an image, eg. for filtering.

LAYOUT_BORDER_0 = 0
LAYOUT_BORDER_1
LAYOUT_BORDER_2
LAYOUT_BORDER_3

4.5 Forcing pixels to be upside down or straight

Vertical constraint forces the image to be stored in a certain vertical direction (by default: any).

LAYOUT_VERT_FLIPPED
LAYOUT_VERT_STRAIGHT

4.6 Gapless pixel access

The Gapless constraint force the image to have contiguous scanlines without excess bytes.

LAYOUT_GAPLESS

If you have both LAYOUT_GAPLESS and LAYOUT_VERT_STRAIGHT, then you can access a slice of all pixels at once, with the ubyte[] allPixelsAtOnce() method.

image.setSize(640, 480, PixelType.rgba8, LAYOUT_GAPLESS | LAYOUT_VERT_STRAIGHT);
ubyte[] allpixels = image.allPixelsAtOnce(y);

LAYOUT_GAPLESS is incompatible with constraints that needs excess bytes, like borders, scanline alignment, trailing pixels...

5. Geometric transforms

Gamut provides a few geometric transforms.

Image image;
image.flipHorizontal(); // Flip image pixels horizontally.
image.flipVertical();   // Flip image vertically (pixels or logically, depending on layout)

6. Multi-layer images

6.1 Create multi-layer images

All Image have a number of layers.

Image image;
image.create(640 ,480);
assert(image.layers == 1); // typical image has one layer
assert(image.hasOneLayer);

Create a multi-layer image, cleared with zeroes:

// This single image has 24 black layers.
image.createLayered(800, 600, 24); 
assert(image.layers == 24);

Create a multi-layer uninitialized image:

// Make space for 24 800x600 rgba8 different images.
image.createLayeredNoInit(800, 600, 24);
assert(image.layers == 24);

Create a multi-layer as a view into existing data:

// Create view into existing data.
// layerOffsetBytes is byte offset between first scanlines 
// of two consecutive layers.
image.createLayeredViewFromData(data.ptr, 
                                w, h, numLaters, 
                                PixelType.rgb8, 
                                pitchbytes,
                                layerOffsetBytes);

Gamut Image is secretly similar to 2D Array Texture in OpenGL. Each layer is store consecutively in memory.

6.2 Get individual layer

image.layer(int index) return non-owning view of a single-layer.

Image image;
image.create(640, 480, 5);
assert(image.layer(4).width  == 640);
assert(image.layer(4).height == 480);
assert(image.layer(4).layers ==   1);

Key concept: All image operations work on all layers by default.

Regarding layout: Each layer has its own border, trailing bytes... and follow the same layout constraints. Moreover, LAYOUT_GAPLESS also constrain the layers to be immediately next in memory, without any byte (like it constrain the scanlines). The layers cannot be stored in reverse order.

6.2 Get sub-range of layers

image.layerRange(int start, int stop) return non-owning view of a several layers.

6.3 Access layer pixels

Get a pointer to a scanline:

// Get the 160th scanline of layer 2.
void* scan = image.layerptr(2, 160);

Get a slice of a whole scanline:

// Get the 160th scanline of layer 2.
void[] line = image.layerline(2, 160);

Actually, scanptr(y) and scanline(y) only access the layer index 0.

// Get the 160th scanline of layer 0.
void* scan = image.scanptr(160);
void[] line = image.scanline(160);

Key concept: First layer has index 0.

Consequently, there are two ways to access pixel data in Image:

// Two different ways to access layer pixels.
assert(image.layer(2).scanline(160) == image.layerline(2, 160)

The calls:

image.layerptr(layer, y)

image.layerline(layer, y)

are like:

image.scanptr(y)

image.scanline(y)

but take a layer index.

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README.md

README.md

Gamut

Decoding

Encoding

Changelog

Why QOIX?

Gamut API documentation

1. `Image` basics

1.1 Get the dimensions of an image:

1.2 Get the pixel format of an image:

1.3 Create an image:

2. Loading and saving an image

2.1 Load an `Image` from a file:

2.2 Load an image from memory:

2.3 Convert to another `PixelType`:

2.4 Save an image to a file:

2.5 Save an image to memory:

2.6 Convert an image to QOIX for faster load

3. Accessing image pixels

3.1 Get the row pitch, in bytes:

3.2 Access a row of pixels:

3.3 Iterate on pixels:

3.4 Process pixels:

4. Layout constraints

4.1 Scanline alignment

4.2 Layout multiplicity

4.3 Trailing pixels

4.4 Pixel border

4.5 Forcing pixels to be upside down or straight

4.6 Gapless pixel access

5. Geometric transforms

6. Multi-layer images

6.1 Create multi-layer images

6.2 Get individual layer

6.2 Get sub-range of layers

6.3 Access layer pixels

Files

README.md

Latest commit

History

README.md

File metadata and controls

Gamut

Decoding

Encoding

Changelog

Why QOIX?

Gamut API documentation

1. Image basics

1.1 Get the dimensions of an image:

1.2 Get the pixel format of an image:

1.3 Create an image:

2. Loading and saving an image

2.1 Load an Image from a file:

2.2 Load an image from memory:

2.3 Convert to another PixelType:

2.4 Save an image to a file:

2.5 Save an image to memory:

2.6 Convert an image to QOIX for faster load

3. Accessing image pixels

3.1 Get the row pitch, in bytes:

3.2 Access a row of pixels:

3.3 Iterate on pixels:

3.4 Process pixels:

4. Layout constraints

4.1 Scanline alignment

4.2 Layout multiplicity

4.3 Trailing pixels

4.4 Pixel border

4.5 Forcing pixels to be upside down or straight

4.6 Gapless pixel access

5. Geometric transforms

6. Multi-layer images

6.1 Create multi-layer images

6.2 Get individual layer

6.2 Get sub-range of layers

6.3 Access layer pixels

1. `Image` basics

2.1 Load an `Image` from a file:

2.3 Convert to another `PixelType`: