Bilinear Interpolation Algorithm: A Spatial Domain Error Concealment Technique
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This article explores the implementation of the bilinear interpolation algorithm, a spatial domain technique for error concealment. The program, developed in MATLAB, utilizes bilinear interpolation to restore corrupted images by estimating missing pixel values from surrounding valid pixels. Key implementation details include: sampling four nearest neighboring pixels, calculating weighted averages based on relative distances, and reconstructing damaged areas through linear interpolation in both horizontal and vertical directions. This approach effectively handles various image corruption scenarios, such as files recovered from damaged storage devices, while preserving original image details and features through smooth gradient reconstruction. The algorithm's effectiveness lies in its simplicity and computational efficiency, making it suitable for real-time image restoration applications.
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