Abstract
This study carves out a way to video coding that is motivated by the recent advancement in video inpainting. In the proposed video coding approach, the regions are mainly divided into two types namely, Local Motion Region and Global Motion Region. The regions are removed by using block based motion estimation in Local Motion Regions and the method of texture synthesis is used for obtaining the removed regions. Shearlet p-Laplacian based Partial Differential Equation (PDE) inpainting is carried out to recover the removed regions in Global Motion Regions. In both regions, Exemplar Selection (Region Removal) Process is based on the edges extracted from the input region. Wavelets like curvelets and contourlets are not very efficient when dealing with edges in multidimensional signals. In this study, a Discrete Shearlet Transform (DST) is used for edge detection. Using DST helps to improve the overall compression performance together with the Shearlet p-Laplacian based inpainting and texture synthesis Schemes. The Scheme has been integrated into H.264/AVC and achieves better bit rate saving.
Highlights
Video compression Luo et al (2009) is the process of reducing the amount of data used to represent video images
We propose a video coding scheme which utilizes the advantages of textural synthesis and the p-Laplacian Operator inpainting based on Discrete Shearlet Transform Domain
Design of an encoder: Segmentation: As shown in Fig. 1, by using a simple segmentation model, both the Local Motion Regions and Global Motion Regions are extracted from the given input video frame
Summary
Video compression Luo et al (2009) is the process of reducing the amount of data used to represent video images. The two important parts of video compression are spatial image compression and temporal motion compensation. Video data contains spatial and temporal redundancy. The recent video coding schemes concentrate only on pixel wise redundancy. It is illustrated by the inefficiency of coding texture regions such as fabric and wood. Several recently proposed methods use the lifting scheme (Gerek and Ctin, 2006; Chang and Gimod, 2006; Velisavljevic et al, 2006) in image and video compression algorithms. Nowadays commonly used video coding standards use (e.g., those in standards approved by the ITU-T or ISO) a Discrete Cosine Transform (DCT) for reducing spatial redundancy
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