Segment Adaptive Gradient Angle Interpolation
| Autor: | David H. Frakes, Christine M. Zwart |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Morphological gradient
Binary image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Reproducibility of Results Numerical Analysis Computer-Assisted Signal Processing Computer-Assisted Geometry Stairstep interpolation Astrophysics::Cosmology and Extragalactic Astrophysics Image Enhancement Sensitivity and Specificity Computer Graphics and Computer-Aided Design Pattern Recognition Automated Image texture Computer Science::Computer Vision and Pattern Recognition Image Interpretation Computer-Assisted Image scaling Algorithm Algorithms Software Image gradient Interpolation Mathematics Feature detection (computer vision) |
| Zdroj: | IEEE Transactions on Image Processing. 22:2960-2969 |
| ISSN: | 1941-0042 1057-7149 |
| DOI: | 10.1109/tip.2012.2228493 |
| Popis: | We introduce a new edge-directed interpolator based on locally defined, straight line approximations of image isophotes. Spatial derivatives of image intensity are used to describe the principal behavior of pixel-intersecting isophotes in terms of their slopes. The slopes are determined by inverting a tridiagonal matrix and are forced to vary linearly from pixel-to-pixel within segments. Image resizing is performed by interpolating along the approximated isophotes. The proposed method can accommodate arbitrary scaling factors, provides state-of-the-art results in terms of PSNR as well as other quantitative visual quality metrics, and has the advantage of reduced computational complexity that is directly proportional to the number of pixels. |
| Databáze: | OpenAIRE |
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