Image Enhancement after Removing Aliasing from a Set of Translated, Rotated, Aliased Images

High resolution algorithms which enhance image resolution from a set of input low resolution images translated, rotated and aliased are widely used in practical applications. In this paper, we proposed a simple method to enhance the resolution of images after reconstructed. First, images were removed artificial aliasing from a set of aliased low-resolution images. Then we continue to enhance those images for higher quality. A filter was applied for removing remain parts: noise, blur and aliasing. The result of our proposed method is better than one of previous methods that were implemented without enhancement after reconstructed from a set of aliased images. Our method demonstrated good visual results and effect for images that are sensitive to noise after removing aliased.

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