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Comparison of Commonly Used Non-Adaptive Image Scaling Techniques
Abstract
The process of resizing the image up or down or changing the dimensions of an image is called image scaling. Image processing and computer vision are concerned with image scaling or image interpolation. There are many techniques developed to resize image to preserve the quality of the image and also have fine details. In this paper, the performance of nearest neighbor, bilinear and bicubic interpolation will be analyzed in both subjectively and objectively. A new algorithm will be introduced for the sake of analysis. Our analyses proved that the performance of these different techniques are dependent on image edges and image contrast.
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