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Super Resolution based In-Painting for Digital Images


Author : Patil Vivek, Patil Nisarg, Patil Prasanna and Karanke Sujata

Pages : 4216-4218
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Abstract

The purpose of this review paper is to show how an unwanted object is removed from the existing digital image, increase the resolution and repair the image etc. The proposed system will use two algorithms- 1. In-painting algorithm and 2. Super Resolution algorithm. In-painting is the process of reconstructing lost or deteriorated part of images based on background information. Image in-painting fills the missing or damaged region in an image, utilizing information of its neighboring region. In-painting algorithm has numerous applications. Such as, it can be used for restoration of old films and object removal in digital photographs. Super resolution reconstruction algorithm produces high resolution image from sequence of low resolution images. The main aim of super resolution is to improve visual quality of available low resolution images. Hence, the proposed system can be used for reconstructing the missing portion of images in order to make it more legible, restore its unity and super resolve the quality of the image.

Keywords: Exemplar-based In-painting, Image Processing, In-painting, Super Resolution, Image editing etc.

Article published in International Journal of Current Engineering and Technology, Vol.4, No.6 (Dec-2014)

 

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