Adaptive interpolation of images
Signal Processing
Image interpolation using interpolative classified vector quantization
Image and Vision Computing
Non-linear fourth-order image interpolation for subpixel edge detection and localization
Image and Vision Computing
A fast edge-oriented algorithm for image interpolation
Image and Vision Computing
Warped distance for space-variant linear image interpolation
IEEE Transactions on Image Processing
Image interpolation using neural networks
IEEE Transactions on Image Processing
Lapped nonlinear interpolative vector quantization and image super-resolution
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Two-dimensional cubic convolution
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Adaptively quadratic (AQua) image interpolation
IEEE Transactions on Image Processing
Locally adaptive wavelet-based image interpolation
IEEE Transactions on Image Processing
Image interpolation by two-dimensional parametric cubic convolution
IEEE Transactions on Image Processing
An edge-guided image interpolation algorithm via directional filtering and data fusion
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
Image interpolation for progressive transmission by using radial basis function networks
IEEE Transactions on Neural Networks
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This work presents an innovative two-stage interpolation algorithm for image resolution enhancement and zooming applications. The desired high-resolution images are obtained via two interpolative stages. In the first stage, aligned pixels are first estimated using a fuzzy inference system, whose critical parameters are optimized by particle swarm intelligence. In the second stage, interior pixels are then restored by utilizing the edge properties of nearby pixels. From experimental results, numerical comparison confirms the superiority of the proposed interpolation algorithm over other existing methods. Furthermore, visual illustrations including zoomed parts and error maps demonstrate the significant improvement of the proposed method, particularly in the regions that contain many local edges and sharp details.