{'fraction_non_alphanumeric': 0.013937282229965157, 'fraction_numerical': 0.0, 'mean_word_length': 5.53030303030303, '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}}
Denoising of MRI Images using Thresholding Techniques through Wavelet

Magnetic Resonance Imaging (MRI) is useful and effective diagnostic tool in basic research, clinical investigation, and disease diagnosis since it provides both chemical and physiological information about the tissue under investigation. But when noise get introduced in MR images, it decreases the image quality ,Image analysis and becomes difficult to diagnose it accurately. A trade off between noise reduction and preservation of actual image features has to make in such manner that enhance the diagnostically relevant image content. Thus noise reduction is still challenging task. This paper proposes wavelet domain denoising for removal of Rician noise from MR images. This method heavily depends on choice of threshold parameter which in turn determines the efficiency of denoising.