{'fraction_non_alphanumeric': 0.011560693641618497, 'fraction_numerical': 0.0, 'mean_word_length': 5.141843971631205, '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}}
Atmospheric scattering-based multiple images fog removal

Current video and image systems are typically of limited use for their poor visibility and contrast caused by the presence of fog, haze and mist. However, the local hazy areas of these images are often interested in and required their sharpness. In this paper, a novel fast haze removal algorithm from multiple images in uniform bad weather conditions which bases on the atmospheric scattering model is proposed. The key idea is to establish an overdetermined system by modeling the hazy images and corresponding images taken in clear days so that the transmission and global airlight can be obtained. Then the two parameters solved from the equations are applied to the local hazy area. Experimental results demonstrate that the proposed algorithms remove haze effectively and achieve accurate restoration.