Colorization of grayscale image using quaternion algebra
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Date
2016-08
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G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
Colorization of grayscale images is a long standing and ill-posed problem. There are many possible applications for colorization. The most obvious application is the colorization of monochrome images from archives. Studies have also gone into using colorization to highlight biomedical images in order to allow potential areas of interest to be easily visible. This seems to be a really good use of the technique in the medical industry and shows that there are many potential uses for colorization in other fields. Colorization can also be used to highlight potentially dangerous substances shown in grayscale x-rays at airport security.
In this thesis work we discuss different methods of colorization, explore quaternion algebra and its application in image processing. The main aim of our proposed work is to investigate the various application of quaternion algebra in image processing and color grayscale images using quaternion algebra. Our proposed method is based on approach using seed color to initiate colorization process. We present a colorization method which uses operation of quaternion algebra to produce color image for a given input grayscale image. It is important to remember that the results of colorization are purely perceptual, even if the colors are wrong they may still be acceptable.
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