Advanced Image Deblurring Suite
Nikhitha Singireddy, Dr. V. Harsha Shastri · International Journal of Research Publication and Reviews · 2025
The rapid growth of digital imaging has increased the importance of image clarity in various fields such as photography, surveillance, and medical imaging.However, blurred images often reduce visual quality and limit their practical use.To address this, classical restoration methods such as Wiener Deconvolution, Unsharp Masking, and Laplacian Sharpening have been widely applied.In this work, we present an integrated software suite that allows users to experiment with these three techniques through a simple graphical interface.The system enables parameter adjustments, side-by-side comparisons, and histogram analysis for better understanding of each method's impact.Rather than focusing only on one approach, the framework offers a platform for comparing multiple techniques, making it useful for both learning and practical applications.The results highlight how each method performs differently, showing that Wiener is best for structural recovery, Unsharp Masking is effective for maintaining natural sharpness, and Laplacian is helpful for edge detection.