Image enhancement techniques aim to extract significant data from blurry or noisy images, making them appear sharper. Due to atmospheric and environmental factors, images often deteriorate, necessitating the use of various image processing methods for restoration. Traditional methods, which rely heavily on pixel intensity transformation, may not be effective against different types of noise. This challenge has sparked significant research interest. Image restoration focuses on reducing blurring and noise to improve image quality. Our work presents an innovative way for obtaining the median value by combining an inverse filter with a median filter utilizing a clockwise route methodology. This combined method aims to enhance the restoration process. We have evaluated the proposed approach, comparing it with the inverse filter and their combination using various performance metrics. The results demonstrate significant improvements, achieving higher PSNR, lower MSE, and better SSIM, along with improvements in RMSE, MAE, and Entropy.