{'fraction_non_alphanumeric': 0.017478152309612985, 'fraction_numerical': 0.0, 'mean_word_length': 5.628099173553719, '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}}
Efficient real time hardware co-simulation for image enhancement applications

Image enhancement techniques improve the visibility of the images. Enhancement results, the output image is more suitable for a specific application rather than input image. It is used in many image processing applications like medical imaging, SONAR and RADAR as a preprocessing step. Hence this paper presents the hardware co-simulation and implementation of image enhancement algorithms into FPGA. Recent improvements in synthesis tools for Simulink suggest a feasible high-level approach to algorithm implementation for embedded DSP systems. The proposed work gives the implementation of efficient edge detection, negative image and image thresholding on Field Programmable Gate Array (FPGA) using Matlab and Simulink.