A computer-implemented method comprising: decoding first encoded data (348, 402) for a set of multiple images to produce a set of multiple decoded images, the decoding comprising entropy decoding the first encoded data to produce quantized transform coefficients for the set of multiple images; inverse quantizing the quantized transform coefficients for the set of multiple images to produce reconstructed transform coefficients for the set of multiple images; performing an inverse frequency transform of the reconstructed transform coefficients for the set of multiple images to produce the set of multiple decoded images; and outputting the set of multiple decoded images, the set of multiple decoded images comprising a decoded image for an image of the set of multiple images; re-encoding (720, 800) the decoded image of the set of multiple decoded images and producing second encoded data for the set of multiple images, including: determining a prediction for the decoded image of the set of multiple decoded images using spatial-domain disparity compensation relative to one or more reference images identified from the set of multiple decoded images to compensate for disparities between the decoded image and the one or more reference images; computing (820,330) quantized transform coefficients for the prediction; computing frequency-domain differences between the quantized transform coefficients for the prediction and the quantized transform coefficients for the image of the set of multiple images produced from entropy decoding the first encoded data; and entropy coding the frequency-domain differences for inclusion in the second encoded data. decoding first encoded data (348, 402) for a set of multiple images to produce a set of multiple decoded images, the decoding comprising entropy decoding the first encoded data to produce quantized transform coefficients for the set of multiple images; inverse quantizing the quantized transform coefficients for the set of multiple images to produce reconstructed transform coefficients for the set of multiple images; performing an inverse frequency transform of the reconstructed transform coefficients for the set of multiple images to produce the set of multiple decoded images; and outputting the set of multiple decoded images, the set of multiple decoded images comprising a decoded image for an image of the set of multiple images; entropy decoding the first encoded data to produce quantized transform coefficients for the set of multiple images; inverse quantizing the quantized transform coefficients for the set of multiple images to produce reconstructed transform coefficients for the set of multiple images; performing an inverse frequency transform of the reconstructed transform coefficients for the set of multiple images to produce the set of multiple decoded images; and outputting the set of multiple decoded images, the set of multiple decoded images comprising a decoded image for an image of the set of multiple images; re-encoding (720, 800) the decoded image of the set of multiple decoded images and producing second encoded data for the set of multiple images, including: determining a prediction for the decoded image of the set of multiple decoded images using spatial-domain disparity compensation relative to one or more reference images identified from the set of multiple decoded images to compensate for disparities between the decoded image and the one or more reference images; computing (820,330) quantized transform coefficients for the prediction; computing frequency-domain differences between the quantized transform coefficients for the prediction and the quantized transform coefficients for the image of the set of multiple images produced from entropy decoding the first encoded data; and entropy coding the frequency-domain differences for inclusion in the second encoded data. determining a prediction for the decoded image of the set of multiple decoded images using spatial-domain disparity compensation relative to one or more reference images identified from the set of multiple decoded images to compensate for disparities between the decoded image and the one or more reference images; computing (820,330) quantized transform coefficients for the prediction; computing frequency-domain differences between the quantized transform coefficients for the prediction and the quantized transform coefficients for the image of the set of multiple images produced from entropy decoding the first encoded data; and entropy coding the frequency-domain differences for inclusion in the second encoded data.