Improved Exemplar based Image Inpainting for Partial Instance Occlusion Handling with K-means Clustering and YCbCr Color Space

Deepa Abin,Sudeep D.Thepade

doi:10.14569/ijacsa.2021.0120581

Abstract

The images acquired in real time outdoor environment are often subject to uneven illumination conditions, cloudy weather, lighting conditions. The instances of partial occlusions deteriorate the background modeling of such scenes. Varying illumination outdoor scene set of images with partial occlusions are addressed through this investigative work. There is a need for a restoration method that finds improved subjective perception and execution time. The proposed work focuses on novel amended exemplar model to improve the subjective perception. The exemplar inpainting method is improved through the color quantization with K-means clustering approach in YCbCr color space. Experimental validations and proposed method results show better improvement in qualitative and objective measures than existing methods. The average “Peak Signal to Noise Ratio (PSNR)” as 28.2869 and “Structural SIMilarity index (SSIM)” as 0.9759 of the proposed method has shown better results respectively both visually and with a tradeoff in time.

Highlights

This paper presents an improved exemplar inpainting method for partial occlusions in illumination variant scenes
The redundancies across three color channels of the source RGB image are better suppressed in YCbCr color space [34,35]
The proposed method was applied on the selective images form these datasets where partial occlusion evidences could be obtained

Summary

INTRODUCTION

This paper presents an improved exemplar inpainting method for partial occlusions in illumination variant scenes. An amended exemplar inpainting method is used for regeneration of partial occlusions through which the texture and color is preserved. There have been conventional image clustering algorithms in literature and out of these numerous methods, K-means clustering happens to be the simplest and widely used method It typically focuses on minimization of sum of squared distances from cluster centres to all the points that can further relate to compact clusters. The research paper here mainly contributes to the regeneration of background during partial occlusion instances in non-uniform illumination scenes. Improved exemplar based on painting with Color Quantization using K-means clustering approach for non-uniform illumination variant scenes.

RELATED WORK

PROPOSED METHOD

Exemplar based on Inpainting on Region of Interest

RESULTS AND DISCUSSION