Image Zooming using Non-linear Partial Differential Equation

The main issue in any image zooming techniques is to preserve the structure of the zoomed image. The zoomed image may suffer from the discontinuities in the soft regions and edges; it may containartifacts, such as image blurring and blocky, and staircase effects. This paper presents a novel imagezooming technique using Partial Differential Equations (PDEs). It combines a non-linear Fourth-order PDE method with the Locally Adaptive Zooming (LAZ) algorithm. The proposed method uses highresolution image obtained from LAZ algorithm to construct zoomed image by Fourth-order PDE. Thisproposed method preserves edges and minimizes blurring and staircase effects in the zoomed image. Inorder to evaluate image quality obtained from the proposed method, this paper focuses on bothsubjective and objective assessments. The results of these measures on a variety of images show that the proposed method is superior over the other image zooming methods

Keywords:

Image Zooming , Partial Differential Equations (Pdes) , Nonlinear Fourth-order PDE , Locally Adaptive Zooming Algorithm (LAZ) , Unsharp Masking