Image Inpainting expertise in reconstructing mislaid image parts. It is the technique for filling an unknown area or scratched area of an Image developed on the nearby information present in the image that is not recognizable by ordinary viewer. In proposed method two Inpainting algorithms, the traditional exemplarbased Image Inpainting and structure tensor inpainting technique has been used. The traditional Criminisi's Image Inpainting method is simple and fast but veracity of the image is weakened and the output image results in blurriness's. To resolve this issue structure tensor Inpainting method has been introduced in the proposed method. The structure tensor algorithm gives more accuracy of the image by using Image structure tensor information. The experimental results are obtained by comparing the Criminisi's method and the proposed method by PSNR, SSIM, MSE and SNR. Structure tensor method significantly improves Inpainting quality compared with traditional Criminisi's method.
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