Image Interpolation by Pixel-Level Data-Dependent Triangulation on Android Platform

Abstract

Abstract. Smart mobile phones have become the most popular electronic equipment; many operations have been transferred from computers to mobiles. We achieved an image interpolation algorithm on android platform. This algorithm could generate high-resolution images from low-resolution images by the pixel-level data-dependent triangulation and a triangular interpolation. The algorithm we achieved on android is more lightweight and the result image is sharper.

New Access to Improve Super Resolution using Convolution Neural Network

“…Li approaches an image can be modeled as Local Gaussian Field and the local covariance matrix at each pixel is to be computed and after that the interpolation coefficient can be calculated adaptively using the principal of Least Square Estimator. D. Su and P. Willis [3] introduces an algorithm is called Data Independent Triangulation which arbitrary use two triangulation to represent four-pixel square mesh. D. Su et al [3] also used Gouraud Shading to compute pixel value at any point in triangle, which not only improve the model edges but also tends to improve proper interpolation within different geometrical meshes.…”

“…D. Su and P. Willis [3] introduces an algorithm is called Data Independent Triangulation which arbitrary use two triangulation to represent four-pixel square mesh. D. Su et al [3] also used Gouraud Shading to compute pixel value at any point in triangle, which not only improve the model edges but also tends to improve proper interpolation within different geometrical meshes.…”