Systems and methods for spatio-temporal dithering

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• receive a target pixel value for a pixel of an image of a series of images;
• determine a first error-modified target pixel value based on the target pixel value and a first error value;
• generate a quantized pixel value corresponding to the error-modified target pixel value, wherein the quantized pixel value is used for display by the pixel of the image;
• determine a first aggregated representation of a plurality of quantized pixel values displayed by:
• (1) the pixel of the image and (2) corresponding pixels of one or more preceding images of the series of images;
• determine a second error value based on the first aggregated representation of the plurality of quantized pixel values and the first error-modified target pixel value;
• determine, using a spatial-dithering model, a plurality of spatial error values based on the second error value, wherein the plurality of spatial error values corresponds to a plurality of adjacent pixels of the pixel of the image;
• and
• dither a spatial error value of the plurality of spatial error values to at least a corresponding pixel of a next image in the series of images.

A system comprising:

• one or more processors;
• and
• one or more computer-readable non-transitory storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the system to:
• receive a target pixel value for a pixel of an image of a series of images;
• determine a first error-modified target pixel value based on the target pixel value and a first error value;
• generate a quantized pixel value corresponding to the error-modified target pixel value, wherein the quantized pixel value is used for display by the pixel of the image;
• determine a first aggregated representation of a plurality of quantized pixel values displayed by:
• (1) the pixel of the image and (2) corresponding pixels of one or more preceding images of the series of images;
• determine a second error value based on the first aggregated representation of the plurality of quantized pixel values and the first error-modified target pixel value;
• determine, using a spatial-dithering model, a plurality of spatial error values based on the second error value, wherein the plurality of spatial error values corresponds to a plurality of adjacent pixels of the pixel of the image;
• and
• dither a spatial error value of the plurality of spatial error values to at least a corresponding pixel of a next image in the series of images.