Enum exr::compression::Compression

pub enum Compression {
    Uncompressed,
    RLE,
    ZIP1,
    ZIP16,
    PIZ,
    PXR24,
    B44,
    B44A,
    DWAA(Option<f32>),
    DWAB(Option<f32>),
}

Specifies which compression method to use. Use uncompressed data for fastest loading and writing speeds. Use RLE compression for fast loading and writing with slight memory savings. Use ZIP compression for slow processing with large memory savings.

Variants

Uncompressed

Store uncompressed values. Produces large files that can be read and written very quickly. Consider using RLE instead, as it provides some compression with almost equivalent speed.

RLE

Produces slightly smaller files that can still be read and written rather quickly. The compressed file size is usually between 60 and 75 percent of the uncompressed size. Works best for images with large flat areas, such as masks and abstract graphics. This compression method is lossless.

ZIP1

Uses ZIP compression to compress each line. Slowly produces small images which can be read with moderate speed. This compression method is lossless. Might be slightly faster but larger than `ZIP16´.

ZIP16

Uses ZIP compression to compress blocks of 16 lines. Slowly produces small images which can be read with moderate speed. This compression method is lossless. Might be slightly slower but smaller than `ZIP1´.

PIZ

PIZ compression works well for noisy and natural images. Works better with larger tiles. Only supported for flat images, but not for deep data. This compression method is lossless.

PXR24

Like ZIP1, but reduces precision of f32 images to f24. Therefore, this is lossless compression for f16 and u32 data, lossy compression for f32 data. This compression method works well for depth buffers and similar images, where the possible range of values is very large, but where full 32-bit floating-point accuracy is not necessary. Rounding improves compression significantly by eliminating the pixels’ 8 least significant bits, which tend to be very noisy, and therefore difficult to compress. This produces really small image files. Only supported for flat images, not for deep data.

B44

This is a lossy compression method for f16 images. It’s the predecessor of the B44A compression, which has improved compression rates for uniformly colored areas. You should probably use B44A instead of the plain B44.

Only supported for flat images, not for deep data.

B44A

This is a lossy compression method for f16 images. All f32 and u32 channels will be stored without compression. All the f16 pixels are divided into 4x4 blocks. Each block is then compressed as a whole.

The 32 bytes of a block will require only ~14 bytes after compression, independent of the actual pixel contents. With chroma subsampling, a block will be compressed to ~7 bytes. Uniformly colored blocks will be compressed to ~3 bytes.

The 512 bytes of an f32 block will not be compressed at all.

Should be fast enough for realtime playback. Only supported for flat images, not for deep data.

DWAA(Option<f32>)

This lossy compression is not yet supported by this implementation.

DWAB(Option<f32>)

This lossy compression is not yet supported by this implementation.

Implementations

impl Compression

pub fn compress_image_section( self, header: &Header, uncompressed_native_endian: ByteVec, pixel_section: IntegerBounds, ) -> Result<ByteVec>

Compress the image section of bytes.

pub fn decompress_image_section( self, header: &Header, compressed: ByteVec, pixel_section: IntegerBounds, pedantic: bool, ) -> Result<ByteVec>

Decompress the image section of bytes.

pub fn scan_lines_per_block(self) -> usize

For scan line images and deep scan line images, one or more scan lines may be stored together as a scan line block. The number of scan lines per block depends on how the pixel data are compressed.

pub fn supports_deep_data(self) -> bool

Deep data can only be compressed using RLE or ZIP compression.

pub fn is_lossless_for(self, sample_type: SampleType) -> bool

Most compression methods will reconstruct the exact pixel bytes, but some might throw away unimportant data for specific types of samples.

pub fn may_loose_data(self) -> bool

Most compression methods will reconstruct the exact pixel bytes, but some might throw away unimportant data in some cases.

pub fn supports_nan(self) -> bool

Most compression methods will reconstruct the exact pixel bytes, but some might replace NaN with zeroes.

impl Compression

pub fn byte_size() -> usize

Number of bytes this would consume in an exr file.

pub fn write<W: Write>(self, write: &mut W) -> UnitResult

Without validation, write this instance to the byte stream.

pub fn read<R: Read>(read: &mut R) -> Result<Self>

Read the value without validating.

Trait Implementations

impl Clone for Compression

fn clone(&self) -> Compression

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Compression

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Display for Compression

fn fmt(&self, formatter: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for Compression

fn eq(&self, other: &Compression) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for Compression

impl StructuralPartialEq for Compression