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An Efficient Method to Restore Torn Digital Image with Enhanced Resolution

Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 5)

Publication Date:

Authors : ; ;

Page : 2339-2344

Keywords : Augmented Lagrange Multiplier; Image Interpolation; Low rank matrix recovery; Super resolution;

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Abstract

A tear results in local image data loss and a relative shift in the frame between the regions at either side of the tear boundary. This paper proposes algorithms for the digital restoration of images damaged by tear. It describes a method for delineating the tear boundary and for correcting the displacement. For a high-quality image restoration, a missing-data treatment algorithm is used to recover any missing pixel intensities. To construct a high resolution image of the restored image, an interpolation technique is also proposed in this paper. Image interpolation aims in reconstructing a high resolution (HR) image from one or more low resolution (LR) images. It is better to explore the linear relationship among neighboring pixels to reconstruct a high-resolution image from a low-resolution input image. This paper uses an efficient method to determine the local order of the linear model implicitly. According to this theory, a method for performing single image super resolution is proposed by formulating the reconstruction as the recovery of a low rank matrix, which can be solved by the augmented Lagrange multiplier method. In addition, the proposed method can be used to handle noisy data and random perturbations robustly.

Last modified: 2021-07-01 14:37:34