In the field of Digital Image Processing, one of the primary goals is the reconstruction or recovery of the original image from a degraded version. Various algorithms are employed for this purpose including the Median Filter, Recursive Median Filter, Cascade Median Filter, and Enhanced Recursive Median filter. The choice of algorithm often depends on the noise density in the image. This paper proposes an improved adaptive recursive median filter specifically designed for restoring grey scale images corrupted by fixed impulse noise. The proposed filter operates in two main steps: first, each pixel in the image will be tested to determine if it is corrupted by noise or not, with uncorrupted pixels being retained. In the second step, the entropy of the corrupted pixels is calculated, and the size of the structural element is adjusted based on the entropy value. The results are measured using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR)............... Keywords.................Image denoising, Fixed Impulse Noise, Image Enhancement and recovery.