Edge detection in range images based on scan line approximation
Computer Vision and Image Understanding
A fast edge-oriented algorithm for image interpolation
Image and Vision Computing
An HVS-Directed Neural-Network-Based Image Resolution Enhancement Scheme for Image Resizing
IEEE Transactions on Fuzzy Systems
New edge-directed interpolation
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Locally adaptive wavelet-based image interpolation
IEEE Transactions on Image Processing
An edge-guided image interpolation algorithm via directional filtering and data fusion
IEEE Transactions on Image Processing
Edge-forming methods for color image zooming
IEEE Transactions on Image Processing
A New Orientation-Adaptive Interpolation Method
IEEE Transactions on Image Processing
The Error-Amended Sharp Edge (EASE) Scheme for Image Zooming
IEEE Transactions on Image Processing
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
IEEE Transactions on Image Processing
Enlargement or reduction of digital images with minimum loss of information
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
Super-resolution of images based on local correlations
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
Conventional image interpolation methods such as the bilinear and bicubic algorithms determine the weights of the reference pixels based on the special distance between the supplementary pixel and the reference pixels. They suffer from some problems such as blurring and jagging around the edges since the edge structure is not considered in interpolation. In this paper, a coordinate rotation and kernel stretch strategy combined with the bilinear or bicubic algorithm is proposed to tackle these problems. For the edge regions, the spatial coordinate axes are rotated to the edge direction and the edge normal to calculate the distances between the supplementary pixel and the original reference pixels. The kernel function is also stretched along the estimated edge direction so that the weights of the reference pixels along the edge direction would be higher than the others to smooth the edge and prevent the jagging artifacts. An edge enhancement method is also proposed to further reduce the interpolation error and sharpen the edge. The experiment results demonstrate that conventional bilinear and bicubic image interpolation methods combined with the proposed strategy can greatly improve the quantitative and qualitative performance for image enlargement.