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.