Background: Spinal image denoising plays a vital role in the accurate diagnosis of disc herniation (DH).
Objective: Traditional denoising algorithms perform less due Limited Directional Selectivity problem and do not adequately capture directional information in pixels. Traditional algorithms' edge representation and texture details are insufficient for the earlier detection of DH.