Improved Guided Image Filtering With Adopting Adaptive Weights

Abstract

Digital image processing has revolutionized the content perception from physical photo appearance to digital image appearance by implementing the digitalization. Digital image processing helps to achieve good process in various research fields, but still enhancing the degraded content to the normal content area is concerned. Image enhancement attains attention due to its high application applicability. A novel framework is proposed in this paper by combining the edge based weighting scheme with guided image filtering to get proposed weighted guide image filtering (WGIF).  WGIF scheme yields low complexity as GIF and preserve the sharp gradient information. WGIF has ability to provide the local and global smoothing filters advantages and successful to avoid the halo artifacts. In practical WGIF is for single image feature enhancement. Experimental results provide low complexity and high performance over traditional state of art methods.

Keywords: Guided image filter, Halo artifacts, Low complexity, Image enhancement 

1. INTRODUCTION

 The digital image is defined as “An image is not an image without any object in it”. The human visual system has ability to perceive the objects in digital image using edges in an efficient manner. Halo artifacts introduces blur in digital image which makes perception of content difficult. Various filtering techniques have designed in literature to preserve the global and local statistics, but none can meet the desired requirements and various algorithms yields high complexity which fails them to achieve practical reliability.