Image Inpainting Based on Fast Inpainting and Sparse Representation Method

Abstract

Especially there is a wide interest in handling the outdoor surveillance images in autonomous navigation, remote surveillance, automatic incident detection, vision based driver assistant system and law enforcement services. In each case, there is an underlying object or scene which is wished to be captured, processed, analyzed and interpreted. Live recording and transmission of outdoor surveillance images are often one of a forensic tool but while transmission it may introduce some variations in the pixels and it may visible as missing blocks. Thus it is significant to improve the visual quality of such outdoor surveillance images for efficient analysis and recognition. In this paper, a simple effective inpainting method is proposed by combining fast inpainting and sparse representation method. The proposed method fully considers the complementary between the fast inpainting method and sparse representation inpainting approach. This approach inpaints the small size missing blocks more effectively than the existing inpainting methods. The experimental results on practical images show that the proposed algorithm can achieve a plausible visual performance without discontinuity in boundary and blurring. Keywords:Image Inpainting, Sparse Representation, Fast inpainting