{'fraction_non_alphanumeric': 0.012195121951219513, 'fraction_numerical': 0.0, 'mean_word_length': 5.388888888888889, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Compression in a printer pipeline

The role of data compression within a printer pipeline is studied. Hardcopy image compression poses a unique challenge due to the presence of halftoned data used to render continuous tone images on limited resolution devices. We present a quantitative comparison of the compressibility of several halftone patterns. The performance of a variety of lossless and lossy compression algorithms is evaluated. We also address the effect that certain image processing operations, like scaling and enhancement, have on the compression performance.