A Local Image Interpolation Method Based On Gradient Analysis
Yan Tian, Bin Liu, Tao Li
Abstract
Yan Tian, Bin Liu, Tao Li
Abstract
Image interpolation has been widely used and studied in the fields of image processing. Considering the different complexities along the different directions, a novel image interpolation method based on gradient analysis is presented in this article. First, for each point that need to be interpolated, the gradient values along the horizontal and vertical directions are estimated respectively. Second, different interpolation methods are carried out along these two directions according to the gradient values, that is a higher order interpolation method is applied if the gradient value is greater than certain threshold; otherwise, a lower order interpolation method is used. This method gives an attention to the precision and complexity of interpolation procedure. Experimental results show that the proposed method is feasible and promising
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Image interpolation has been widely used and studied in the fields of image processing. Considering the different complexities along the different directions, a novel image interpolation method based on gradient analysis is presented in this article. First, for each point that need to be interpolated, the gradient values along the horizontal and vertical directions are estimated respectively. Second, different interpolation methods are carried out along these two directions according to the gradient values, that is a higher order interpolation method is applied if the gradient value is greater than certain threshold; otherwise, a lower order interpolation method is used. This method gives an attention to the precision and complexity of interpolation procedure. Experimental results show that the proposed method is feasible and promising
Key concepts: Interpolation (computer graphics), Stairstep interpolation, Nearest-neighbor interpolation, Image scaling, Bilinear interpolation, Multivariate interpolation, Image (mathematics), Trilinear interpolation