{'fraction_non_alphanumeric': 0.008862629246676515, 'fraction_numerical': 0.0, 'mean_word_length': 5.220183486238532, '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}}
Impulse noise reduction from corrupted images using lifting wavelet filters

A new method to remove impulse noise from images using lifting wavelet filters which contain free parameters is presented. High frequency components obtained by wavelet decomposition are large around impulse noise. Lifting wavelet filters are designed by tuning their free parameters so as to vanish high frequency components at the location of impulse noise. The designed filters have features of impulse noise. Detection of impulse noise can be done by applying the learnt filters to corrupted images. Reduction of impulse noise from the image is carried out using a wavelet reconstruction formula.