{'fraction_non_alphanumeric': 0.017094017094017096, 'fraction_numerical': 0.0, 'mean_word_length': 5.022857142857143, '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}}
Hybrid approach to enhance contrast of image for forensic investigation using segmented histogram

Digital images can be used in detection of various crimes, ranging from active to passive attack applications. To suit a particular attack application, an image needs to be enhanced and should have good quality in general for forensic investigation. For normal investigation use; vibrant, vivid and eye pleasing image is desired. In this paper, various existing methods and their drawbacks are examined. This information is then used to develop an approach for contained enhancement to retain natural look of image, enhance its quality to make it usable for evidence. Existence of a spike in histogram can result in Over-enhancement of image. Spike is created when a large no. of pixels are having small set of intensities. Ten most commonly used standard images are used for performance comparison. Proposed method outperforms compared methods in terms of PSNR and AMBE values, while keeping entropy and standard deviation almost similar to input image.