{'fraction_non_alphanumeric': 0.012211668928086838, 'fraction_numerical': 0.0, 'mean_word_length': 5.362068965517241, '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}}
Effect of Denoising Algorithms on Video Stabilization

Various denoising algorithms exist in the literature, however, no studies have ever been made to measure the impact of denoising algorithms on the quality of the video produced by a stabilization algorithm. In this paper, the impact of state of the art denoising algorithms on a feature-based video stabilization is measured and evaluated. Also, a quantitative measure is proposed which can give more insight on the impact of the chosen denoising algorithm on stabilization. The results show that the denoising algorithm can drastically affect the quality of stabilization results and choosing the latest denoising algorithm does not always guarantee the best stabilization results.