{'fraction_non_alphanumeric': 0.016489988221436984, 'fraction_numerical': 0.005889281507656066, 'mean_word_length': 5.204379562043796, '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}}
Unsupervised edge enhancement algorithm for SAR images using exploitation of wavelet transform coefficients

In this paper, very simple automatic edge enhancement algorithm for Synthetic Aperture Radar (SAR) Image has been presented. Maximum Wavelet coefficients among three subbands at different scales have been exploited to form point wise maxima product. This operation produces enhanced edges in the wavelet domain itself. In many of the research works, development of edge enhancement step has been proposed prior to edge detection step. This enhancement step would ease the automatic edge detection operation. Simulated Images have been used to test the performance of the method and it is extended to the real SAR images also. For objective evaluation, quality metrics like EBCM, CP have been measured as 117 & 40 and shows good performance.