Comparison of Error and Enhancement: Effect of Image Interpolation
Muhammad Hameed Siddiqi, Iram Fatima, Young-Koo Lee, Sungyoung Lee
Abstract
Muhammad Hameed Siddiqi, Iram Fatima, Young-Koo Lee, Sungyoung Lee
Abstract
Image interpolation is a technique that pervades many an application. Interpolation is almost never the goal in itself, yet it affects both the desired results and the ways to obtain them. In this paper, we proposed a technique that is capable to find out the error when the common two methods (bilinear and nearest neighbor interpolation) are applied on an image for rotation. The proposed technique also includes the comparison results of bilinear interpolation and nearest neighbor interpolation. Among them nearest neighbor interpolation gives us a better result regarding to the enhancement and due to least error. The error is found by using Mean Square Error (MSE).
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Image interpolation is a technique that pervades many an application. Interpolation is almost never the goal in itself, yet it affects both the desired results and the ways to obtain them. In this paper, we proposed a technique that is capable to find out the error when the common two methods (bilinear and nearest neighbor interpolation) are applied on an image for rotation. The proposed technique also includes the comparison results of bilinear interpolation and nearest neighbor interpolation. Among them nearest neighbor interpolation gives us a better result regarding to the enhancement and due to least error. The error is found by using Mean Square Error (MSE).
Key concepts: Bilinear interpolation, Stairstep interpolation, Interpolation (computer graphics), Bicubic interpolation, Nearest-neighbor interpolation, Image scaling, Multivariate interpolation, Trilinear interpolation