2008IEEE International Conference on Acoustics Speech and Signal ProcessingOpen access

Spatial interpolation algorithm for error concealment

Hamid Gharavi, Shaoshuai Gao

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Abstract

In this paper, we propose a new spatial interpolation algorithm for Intra-Frame error concealment. The method aims at interpolating areas in the image, which have been affected by packet loss. We have proposed an edge detection technique to aid the bilinear interpolation. The edge-detection scheme is based on designing a robust Hough transform-based technique that is capable of systematically connecting edges irrespective of the number of edge points surrounding missing areas. The connected edges are used to divide the missing areas into different regions for interpolation along the directions of each detected line. Simulation results demonstrate that the proposed algorithm can recover the missing areas with a greater accuracy, when compared with the bilinear interpolation technique.

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What this paper is about

In this paper, we propose a new spatial interpolation algorithm for Intra-Frame error concealment. The method aims at interpolating areas in the image, which have been affected by packet loss. We have proposed an edge detection technique to aid the bilinear interpolation. The edge-detection scheme is based on designing a robust Hough transform-based technique that is capable of systematically connecting edges irrespective of the number of edge points surrounding missing areas. The connected edges are used to divide the missing areas into different regions for interpolation along the directions of each detected line. Simulation results demonstrate that the proposed algorithm can recover the missing areas with a greater accuracy, when compared with the bilinear interpolation technique.

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Available abstract

In this paper, we propose a new spatial interpolation algorithm for Intra-Frame error concealment. The method aims at interpolating areas in the image, which have been affected by packet loss. We have proposed an edge detection technique to aid the bilinear interpolation. The edge-detection scheme is based on designing a robust Hough transform-based technique that is capable of systematically connecting edges irrespective of the number of edge points surrounding missing areas. The connected edges are used to divide the missing areas into different regions for interpolation along the directions of each detected line. Simulation results demonstrate that the proposed algorithm can recover the missing areas with a greater accuracy, when compared with the bilinear interpolation technique.

Key concepts: Bilinear interpolation, Interpolation (computer graphics), Stairstep interpolation, Computer science, Enhanced Data Rates for GSM Evolution, Algorithm, Bicubic interpolation, Nearest-neighbor interpolation

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