Simplifying Watermark Removal: Efficiently Enhancing Visual Integrity through Traditional Image Processing Techniques

This research paper presents a watermark removal technique for digital images using image processing methods, specifically thresholding with the Otsu method. Unlike complex deep learning algorithms, this approach focuses on simplicity and computational efficiency while achieving effective results. The Otsu method automatically determines an optimal threshold to separate the watermark from the background based on image segmentation. Experimental results demonstrate the efficacy of the proposed technique, showcasing high accuracy in removing watermarks with minimal distortion. Moreover, the method's computational efficiency makes it suitable for real-time applications. This research contributes to the field by highlighting the potential of traditional image processing techniques. The simplicity and interpretability of the approach make it accessible to researchers and practitioners with limited expertise in advanced methods. The results indicate promising performance in watermark removal for a diverse dataset of digital images with different watermark types and complexities. This research contributes valuable insights into effective and efficient watermark removal techniques, providing a practical solution for copyright protection, image authentication, and content restoration tasks.