Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
Ten More Unsolved Problems in Computer Graphics
IEEE Computer Graphics and Applications
Antialiasing by Gaussian Integration
IEEE Computer Graphics and Applications
Design of steerable filters for feature detection using canny-like criteria
IEEE Transactions on Pattern Analysis and Machine Intelligence
New edge-directed interpolation
IEEE Transactions on Image Processing
An edge-guided image interpolation algorithm via directional filtering and data fusion
IEEE Transactions on Image Processing
Kernel Regression for Image Processing and Reconstruction
IEEE Transactions on Image Processing
A New Orientation-Adaptive Interpolation Method
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
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Edge-adaptive interpolation is an effective technique to obtain a sharp high-resolution (HR) image from a low-resolution (LR) image. In this paper, we propose a new image interpolation method using edge-adaptive anisotropic Gaussian filters (AGFs). In the proposed method, the edge information of the LR image, which is the edge orientation and its energy, is first estimated using the modified Leung-Malik (LM) filter bank. Then, the edge information of the LR image is converted into that of the HR image by using a mapping function. Based on the HR edge information, edge-adaptive interpolation is performed using the AGF with variable shape and direction. Simulation results show that the proposed method objectively and subjectively outperforms conventional edge-based methods.