BLUR AND OBFUSCATION DETECTION USING GENETIC PROGRAMMING

Abstract—Detecting blur and obfuscation in images is critical for various applications, including security and image processing. These distortions can significantly impact the reliability and effectiveness of image-based systems. In our proposed approach, we utilize Genetic Programming (GP) to develop a robust  model for blur and obfuscation detection. By leveraging a dataset curated for this purpose, we achieved an accuracy of 75%, surpassing traditional methods. Early detection of these distortions is essential for mitigating their effects and ensuring the integrity of image-based systems.