{'fraction_non_alphanumeric': 0.017452006980802792, 'fraction_numerical': 0.0, 'mean_word_length': 6.0, '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}}
Wavelet image compression based on mathematical expectation and standard deviation

The aim of this paper is to propose an efficient method for filtrating wavelet coefficients in image compression. The method filtrates coefficients based on wavelet transform, mathematical expectation and standard deviation. Image quality is measured objectively, using peak signal-to-noise ratio, and subjectively, using mean opinion score. Experimental results indicate that this method based on mathematical expectation and standard deviation has good performances in image compression.