tf.io.encode_jpeg

JPEG-encode an image.

tf.io.encode_jpeg(
    image: Annotated[Any, _atypes.UInt8],
    format: str = '',
    quality: int = 95,
    progressive: bool = False,
    optimize_size: bool = False,
    chroma_downsampling: bool = True,
    density_unit: str = 'in',
    x_density: int = 300,
    y_density: int = 300,
    xmp_metadata: str = '',
    name=None
) -> Annotated[Any, _atypes.String]

image is a 3-D uint8 Tensor of shape [height, width, channels].

The attr format can be used to override the color format of the encoded output. Values can be:

  • '': Use a default format based on the number of channels in the image.
  • grayscale: Output a grayscale JPEG image. The channels dimension of image must be 1.
  • rgb: Output an RGB JPEG image. The channels dimension of image must be 3.

If format is not specified or is the empty string, a default format is picked in function of the number of channels in image:

  • 1: Output a grayscale image.
  • 3: Output an RGB image.

image A Tensor of type uint8. 3-D with shape [height, width, channels].
format An optional string from: "", "grayscale", "rgb". Defaults to "". Per pixel image format.
quality An optional int. Defaults to 95. Quality of the compression from 0 to 100 (higher is better and slower).
progressive An optional bool. Defaults to False. If True, create a JPEG that loads progressively (coarse to fine).
optimize_size An optional bool. Defaults to False. If True, spend CPU/RAM to reduce size with no quality change.
chroma_downsampling An optional bool. Defaults to True. See http://en.wikipedia.org/wiki/Chroma_subsampling.
density_unit An optional string from: "in", "cm". Defaults to "in". Unit used to specify x_density and y_density: pixels per inch ('in') or centimeter ('cm').
x_density An optional int. Defaults to 300. Horizontal pixels per density unit.
y_density An optional int. Defaults to 300. Vertical pixels per density unit.
xmp_metadata An optional string. Defaults to "". If not empty, embed this XMP metadata in the image header.
name A name for the operation (optional).

A Tensor of type string.