{'fraction_non_alphanumeric': 0.018309859154929577, 'fraction_numerical': 0.0, 'mean_word_length': 5.7075471698113205, '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}}
Adaptive local contrast enhancement of high dynamic range image

Most existing global contrast enhancement algorithm can not deal with high dynamic range images. Thus a simplified logarithmic transformation equation has been proposed in this paper. A partially overlapped sub-block method is also adopted to perform local contrast enhancement. For purpose of optimization, two contrast measures are used for finding optimal transformation parameters. They merge into a new algorithm, called POSLT (Partially Overlapped Sub-block Logarithmic transformation). POSLT exhibits good performance and Controllability even if it has high computational complexity. Our experimental results give firmly support of POSLT.