The png Module

The png module can read and write PNG files.

Installation and Overview

pip install pypng

For help, type import png; help(png) in your python interpreter.

A good place to start is the Reader and Writer classes.

Coverage of PNG formats is fairly complete; all allowable bit depths (1/2/4/8/16/24/32/48/64 bits per pixel) and colour combinations are supported:

  • greyscale (1/2/4/8/16 bit);
  • RGB, RGBA, LA (greyscale with alpha) with 8/16 bits per channel;
  • colour mapped images (1/2/4/8 bit).

Interlaced images, which support a progressive display when downloading, are supported for both reading and writing.

A number of optional chunks can be specified (when writing) and understood (when reading): tRNS, bKGD, gAMA.

The sBIT chunk can be used to specify precision for non-native bit depths.

Requires Python 3.4 or higher (or Python 2.7). Installation is trivial, but see the README.txt file (with the source distribution) for details.

Full use of all features will need some reading of the PNG specification http://www.w3.org/TR/2003/REC-PNG-20031110/.

The package also comes with command line utilities.

  • pripamtopng converts Netpbm PAM/PNM files to PNG;
  • pripngtopam converts PNG to file PAM/PNM.

There are a few more for simple PNG manipulations.

Spelling and Terminology

Generally British English spelling is used in the documentation. So that’s “greyscale” and “colour”. This not only matches the author’s native language, it’s also used by the PNG specification.

Colour Models

The major colour models supported by PNG (and hence by PyPNG) are:

  • greyscale;
  • greyscale–alpha;
  • RGB;
  • RGB–alpha.

Also referred to using the abbreviations: L, LA, RGB, RGBA. Each letter codes a single channel: L is for Luminance or Luma or Lightness (greyscale images); A stands for Alpha, the opacity channel (used for transparency effects, but higher values are more opaque, so it makes sense to call it opacity); R, G, B stand for Red, Green, Blue (colour image).

Lists, arrays, sequences, and so on

When getting pixel data out of this module (reading) and presenting data to this module (writing) there are a number of ways the data could be represented as a Python value.

The preferred format is a sequence of rows, which each row being a sequence of values. In this format, the values are in pixel order, with all the values from all the pixels in a row being concatenated into a single sequence for that row.

Consider an image that is 3 pixels wide by 2 pixels high, and each pixel has RGB components:

Sequence of rows:

list([R,G,B, R,G,B, R,G,B],
     [R,G,B, R,G,B, R,G,B])

Each row appears as its own list, but the pixels are flattened so that three values for one pixel simply follow the three values for the previous pixel.

This is the preferred because it provides a good compromise between space and convenience. PyPNG regards itself as at liberty to replace any sequence type with any sufficiently compatible other sequence type; in practice each row is an array (bytearray or array.array).

To allow streaming the outer list is sometimes an iterator rather than an explicit list.

An alternative format is a single array holding all the values.

Array of values:

[R,G,B, R,G,B, R,G,B,
 R,G,B, R,G,B, R,G,B]

The entire image is one single giant sequence of colour values. Generally an array will be used (to save space), not a list.

The top row comes first, and within each row the pixels are ordered from left-to-right. Within a pixel the values appear in the order R-G-B-A (or L-A for greyscale–alpha).

There is another format, which should only be used with caution. It is mentioned because it is used internally, is close to what lies inside a PNG file itself, and has some support from the public API. This format is called packed. When packed, each row is a sequence of bytes (integers from 0 to 255), just as it is before PNG scanline filtering is applied. When the bit depth is 8 this is the same as a sequence of rows; when the bit depth is less than 8 (1, 2 and 4), several pixels are packed into each byte; when the bit depth is 16 each pixel value is decomposed into 2 bytes (and packed is a misnomer). This format is used by the Writer.write_packed() method. It isn’t usually a convenient format, but may be just right if the source data for the PNG image comes from something that uses a similar format (for example, 1-bit BMPs, or another PNG file).

png module Classes and Functions

class png.Image(rows, info)

A PNG image. You can create an Image object from an array of pixels by calling png.from_array(). It can be saved to disk with the save() method.

Note

The constructor is not public. Please do not call it.

save(file)

Save the image to file. If file looks like an open file descriptor then it is used, otherwise it is treated as a filename and a fresh file is opened.

In general, you can only call this method once; after it has been called the first time and the PNG image has been saved, the source data will have been streamed, and cannot be streamed again.

class png.Reader(_guess=None, filename=None, file=None, bytes=None)

Pure Python PNG decoder in pure Python.

The constructor expects exactly one keyword argument. If you supply a positional argument instead, it will guess the input type. Choose from the following keyword arguments:

filename
Name of input file (a PNG file).
file
A file-like object (object with a read() method).
bytes
bytes or bytearray with PNG data.
asDirect()

Returns the image data as a direct representation of an x * y * planes array. This removes the need for callers to deal with palettes and transparency themselves. Images with a palette (colour type 3) are converted to RGB or RGBA; images with transparency (a tRNS chunk) are converted to LA or RGBA as appropriate. When returned in this format the pixel values represent the colour value directly without needing to refer to palettes or transparency information.

Like the read() method this method returns a 4-tuple:

(width, height, rows, info)

This method normally returns pixel values with the bit depth they have in the source image, but when the source PNG has an sBIT chunk it is inspected and can reduce the bit depth of the result pixels; pixel values will be reduced according to the bit depth specified in the sBIT chunk. PNG nerds should note a single result bit depth is used for all channels: the maximum of the ones specified in the sBIT chunk. An RGB565 image will be rescaled to 6-bit RGB666.

The info dictionary that is returned reflects the direct format and not the original source image. For example, an RGB source image with a tRNS chunk to represent a transparent colour, will start with planes=3 and alpha=False for the source image, but the info dictionary returned by this method will have planes=4 and alpha=True because an alpha channel is synthesized and added.

rows is a sequence of rows; each row being a sequence of values (like the read() method).

All the other aspects of the image data are not changed.

asRGB()

Return image as RGB pixels. RGB colour images are passed through unchanged; greyscales are expanded into RGB triplets (there is a small speed overhead for doing this).

An alpha channel in the source image will raise an exception.

The return values are as for the read() method except that the info reflect the returned pixels, not the source image. In particular, for this method info['greyscale'] will be False.

asRGB8()

Return the image data as an RGB pixels with 8-bits per sample. This is like the asRGB() method except that this method additionally rescales the values so that they are all between 0 and 255 (8-bit). In the case where the source image has a bit depth < 8 the transformation preserves all the information; where the source image has bit depth > 8, then rescaling to 8-bit values loses precision. No dithering is performed. Like asRGB(), an alpha channel in the source image will raise an exception.

This function returns a 4-tuple: (width, height, rows, info). width, height, info are as per the read() method.

rows is the pixel data as a sequence of rows.

asRGBA()

Return image as RGBA pixels. Greyscales are expanded into RGB triplets; an alpha channel is synthesized if necessary. The return values are as for the read() method except that the info reflect the returned pixels, not the source image. In particular, for this method info['greyscale'] will be False, and info['alpha'] will be True.

asRGBA8()

Return the image data as RGBA pixels with 8-bits per sample. This method is similar to asRGB8() and asRGBA(): The result pixels have an alpha channel, and values are rescaled to the range 0 to 255. The alpha channel is synthesized if necessary (with a small speed penalty).

chunk(lenient=False)

Read the next PNG chunk from the input file; returns a (type, data) tuple. type is the chunk’s type as a byte string (all PNG chunk types are 4 bytes long). data is the chunk’s data content, as a byte string.

If the optional lenient argument evaluates to True, checksum failures will raise warnings rather than exceptions.

chunks()

Return an iterator that will yield each chunk as a (chunktype, content) pair.

palette(alpha='natural')

Returns a palette that is a sequence of 3-tuples or 4-tuples, synthesizing it from the PLTE and tRNS chunks. These chunks should have already been processed (for example, by calling the preamble() method). All the tuples are the same size: 3-tuples if there is no tRNS chunk, 4-tuples when there is a tRNS chunk.

Assumes that the image is colour type 3 and therefore a PLTE chunk is required.

If the alpha argument is 'force' then an alpha channel is always added, forcing the result to be a sequence of 4-tuples.

preamble(lenient=False)

Extract the image metadata by reading the initial part of the PNG file up to the start of the IDAT chunk. All the chunks that precede the IDAT chunk are read and either processed for metadata or discarded.

If the optional lenient argument evaluates to True, checksum failures will raise warnings rather than exceptions.

process_chunk(lenient=False)

Process the next chunk and its data. This only processes the following chunk types: IHDR, PLTE, bKGD, tRNS, gAMA, sBIT, pHYs. All other chunk types are ignored.

If the optional lenient argument evaluates to True, checksum failures will raise warnings rather than exceptions.

read(lenient=False)

Read the PNG file and decode it. Returns (width, height, rows, info).

May use excessive memory.

rows is a sequence of rows; each row is a sequence of values.

If the optional lenient argument evaluates to True, checksum failures will raise warnings rather than exceptions.

read_flat()

Read a PNG file and decode it into a single array of values. Returns (width, height, values, info).

May use excessive memory.

values is a single array.

The read() method is more stream-friendly than this, because it returns a sequence of rows.

undo_filter(filter_type, scanline, previous)

Undo the filter for a scanline. scanline is a sequence of bytes that does not include the initial filter type byte. previous is decoded previous scanline (for straightlaced images this is the previous pixel row, but for interlaced images, it is the previous scanline in the reduced image, which in general is not the previous pixel row in the final image). When there is no previous scanline (the first row of a straightlaced image, or the first row in one of the passes in an interlaced image), then this argument should be None.

The scanline will have the effects of filtering removed; the result will be returned as a fresh sequence of bytes.

validate_signature()

If signature (header) has not been read then read and validate it; otherwise do nothing.

class png.Writer(width=None, height=None, size=None, greyscale=<class 'png.Default'>, alpha=False, bitdepth=8, palette=None, transparent=None, background=None, gamma=None, compression=None, interlace=False, planes=None, colormap=None, maxval=None, chunk_limit=1048576, x_pixels_per_unit=None, y_pixels_per_unit=None, unit_is_meter=False)

PNG encoder in pure Python.

Create a PNG encoder object.

Arguments:

width, height
Image size in pixels, as two separate arguments.
size
Image size (w,h) in pixels, as single argument.
greyscale
Pixels are greyscale, not RGB.
alpha
Input data has alpha channel (RGBA or LA).
bitdepth
Bit depth: from 1 to 16 (for each channel).
palette
Create a palette for a colour mapped image (colour type 3).
transparent
Specify a transparent colour (create a tRNS chunk).
background
Specify a default background colour (create a bKGD chunk).
gamma
Specify a gamma value (create a gAMA chunk).
compression
zlib compression level: 0 (none) to 9 (more compressed); default: -1 or None.
interlace
Create an interlaced image.
chunk_limit
Write multiple IDAT chunks to save memory.
x_pixels_per_unit
Number of pixels a unit along the x axis (write a pHYs chunk).
y_pixels_per_unit
Number of pixels a unit along the y axis (write a pHYs chunk). Along with x_pixel_unit, this gives the pixel size ratio.
unit_is_meter
True to indicate that the unit (for the pHYs chunk) is metre.

The image size (in pixels) can be specified either by using the width and height arguments, or with the single size argument. If size is used it should be a pair (width, height).

The greyscale argument indicates whether input pixels are greyscale (when true), or colour (when false). The default is true unless palette= is used.

The alpha argument (a boolean) specifies whether input pixels have an alpha channel (or not).

bitdepth specifies the bit depth of the source pixel values. Each channel may have a different bit depth. Each source pixel must have values that are an integer between 0 and 2**bitdepth-1, where bitdepth is the bit depth for the corresponding channel. For example, 8-bit images have values between 0 and 255. PNG only stores images with bit depths of 1,2,4,8, or 16 (the same for all channels). When bitdepth is not one of these values or where channels have different bit depths, the next highest valid bit depth is selected, and an sBIT (significant bits) chunk is generated that specifies the original precision of the source image. In this case the supplied pixel values will be rescaled to fit the range of the selected bit depth.

The PNG file format supports many bit depth / colour model combinations, but not all. The details are somewhat arcane (refer to the PNG specification for full details). Briefly: Bit depths < 8 (1,2,4) are only allowed with greyscale and colour mapped images; colour mapped images cannot have bit depth 16.

For colour mapped images (in other words, when the palette argument is specified) the bitdepth argument must match one of the valid PNG bit depths: 1, 2, 4, or 8. (It is valid to have a PNG image with a palette and an sBIT chunk, but the meaning is slightly different; it would be awkward to use the bitdepth argument for this.)

The palette option, when specified, causes a colour mapped image to be created: the PNG colour type is set to 3; greyscale must not be true; alpha must not be true; transparent must not be set. The bit depth must be 1,2,4, or 8. When a colour mapped image is created, the pixel values are palette indexes and the bitdepth argument specifies the size of these indexes (not the size of the colour values in the palette).

The palette argument value should be a sequence of 3- or 4-tuples. 3-tuples specify RGB palette entries; 4-tuples specify RGBA palette entries. All the 4-tuples (if present) must come before all the 3-tuples. A PLTE chunk is created; if there are 4-tuples then a tRNS chunk is created as well. The PLTE chunk will contain all the RGB triples in the same sequence; the tRNS chunk will contain the alpha channel for all the 4-tuples, in the same sequence. Palette entries are always 8-bit.

If specified, the transparent and background parameters must be a tuple with one element for each channel in the image. Either a 3-tuple of integer (RGB) values for a colour image, or a 1-tuple of a single integer for a greyscale image.

If specified, the gamma parameter must be a positive number (generally, a float). A gAMA chunk will be created. Note that this will not change the values of the pixels as they appear in the PNG file, they are assumed to have already been converted appropriately for the gamma specified.

The compression argument specifies the compression level to be used by the zlib module. Values from 1 to 9 (highest) specify compression. 0 means no compression. -1 and None both mean that the zlib module uses the default level of compession (which is generally acceptable).

If interlace is true then an interlaced image is created (using PNG’s so far only interace method, Adam7). This does not affect how the pixels should be passed in, rather it changes how they are arranged into the PNG file. On slow connexions interlaced images can be partially decoded by the browser to give a rough view of the image that is successively refined as more image data appears.

Note

Enabling the interlace option requires the entire image to be processed in working memory.

chunk_limit is used to limit the amount of memory used whilst compressing the image. In order to avoid using large amounts of memory, multiple IDAT chunks may be created.

array_scanlines(pixels)

Generates rows (each a sequence of values) from a single array of values.

array_scanlines_interlace(pixels)

Generator for interlaced scanlines from an array. pixels is the full source image as a single array of values. The generator yields each scanline of the reduced passes in turn, each scanline being a sequence of values.

write(outfile, rows)

Write a PNG image to the output file. rows should be an iterable that yields each row (each row is a sequence of values). The rows should be the rows of the original image, so there should be self.height rows of self.width * self.planes values. If interlace is specified (when creating the instance), then an interlaced PNG file will be written. Supply the rows in the normal image order; the interlacing is carried out internally.

Note

Interlacing requires the entire image to be in working memory.

write_array(outfile, pixels)

Write an array that holds all the image values as a PNG file on the output file. See also write() method.

write_packed(outfile, rows)

Write PNG file to outfile. rows should be an iterator that yields each packed row; a packed row being a sequence of packed bytes.

The rows have a filter byte prefixed and are then compressed into one or more IDAT chunks. They are not processed any further, so if bitdepth is other than 1, 2, 4, 8, 16, the pixel values should have been scaled before passing them to this method.

This method does work for interlaced images but it is best avoided. For interlaced images, the rows should be presented in the order that they appear in the file.

write_passes(outfile, rows)

Write a PNG image to the output file.

Most users are expected to find the write() or write_array() method more convenient.

The rows should be given to this method in the order that they appear in the output file. For straightlaced images, this is the usual top to bottom ordering. For interlaced images the rows should have been interlaced before passing them to this function.

rows should be an iterable that yields each row (each row being a sequence of values).

png.write_chunks(out, chunks)

Create a PNG file by writing out the chunks.

png.from_array(a, mode=None, info={})

Create a PNG Image object from a 2-dimensional array. One application of this function is easy PIL-style saving: png.from_array(pixels, 'L').save('foo.png').

Unless they are specified using the info parameter, the PNG’s height and width are taken from the array size. The first axis is the height; the second axis is the ravelled width and channel index. The array is treated is a sequence of rows, each row being a sequence of values (width*channels in number). So an RGB image that is 16 pixels high and 8 wide will occupy a 2-dimensional array that is 16x24 (each row will be 8*3 = 24 sample values).

mode is a string that specifies the image colour format in a PIL-style mode. It can be:

'L'
greyscale (1 channel)
'LA'
greyscale with alpha (2 channel)
'RGB'
colour image (3 channel)
'RGBA'
colour image with alpha (4 channel)

The mode string can also specify the bit depth (overriding how this function normally derives the bit depth, see below). Appending ';16' to the mode will cause the PNG to be 16 bits per channel; any decimal from 1 to 16 can be used to specify the bit depth.

When a 2-dimensional array is used mode determines how many channels the image has, and so allows the width to be derived from the second array dimension.

The array is expected to be a numpy array, but it can be any suitable Python sequence. For example, a list of lists can be used: png.from_array([[0, 255, 0], [255, 0, 255]], 'L'). The exact rules are: len(a) gives the first dimension, height; len(a[0]) gives the second dimension. It’s slightly more complicated than that because an iterator of rows can be used, and it all still works. Using an iterator allows data to be streamed efficiently.

The bit depth of the PNG is normally taken from the array element’s datatype (but if mode specifies a bitdepth then that is used instead). The array element’s datatype is determined in a way which is supposed to work both for numpy arrays and for Python array.array objects. A 1 byte datatype will give a bit depth of 8, a 2 byte datatype will give a bit depth of 16. If the datatype does not have an implicit size, like the above example where it is a plain Python list of lists, then a default of 8 is used.

The info parameter is a dictionary that can be used to specify metadata (in the same style as the arguments to the png.Writer class). For this function the keys that are useful are:

height
overrides the height derived from the array dimensions and allows a to be an iterable.
width
overrides the width derived from the array dimensions.
bitdepth
overrides the bit depth derived from the element datatype (but must match mode if that also specifies a bit depth).

Generally anything specified in the info dictionary will override any implicit choices that this function would otherwise make, but must match any explicit ones. For example, if the info dictionary has a greyscale key then this must be true when mode is 'L' or 'LA' and false when mode is 'RGB' or 'RGBA'.