Color Image Magnification: Geometrical Pattern Classification Approach

Abstract

In an era where technology keeps advancing, it is vital that high-resolution images are available to produce high-quality displayed images and fine-quality prints. The problem is that it is quite impossible to produce high-resolution images with acceptable clarity even with the latest digital cameras. Therefore, there is a need to enlarge the original images using an effective and efficient algorithm. The main contribution of this paper is to produce an enlarge color image with high visual quality, up to four times the original size of 100x100 pixels image. In the classification phase, the basic idea is to separate the interpolation region in the form of geometrical shape. Then, in the intensity determination phase, the interpolator assigns a proper color intensity value to the undefined pixel inside the interpolation region. This paper will discuss about problem statement, literature review, research methodology, research outcome, initial results, and finally, the conclusion.