A stochastic model-based approach to image and texture interpolation

• Published in: 2009 16th IEEE International Conference on Image Processing (ICIP) pp. 341 - 344
• Main Authors: Kirshner, H., Porat, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2009
• Subjects: Autoregressive processes; Image processing; Image resolution; Interpolation; Kernel; Pixel; Polynomials; Spatial resolution; Spline; Stochastic processes

We introduce a new exponential-based shift-invariant approach to image interpolation using stochastic modeling. Our model stems from Sobolev reproducing kernels of exponential type, motivated by their role in continuous-domain stochastic autoregressive processes. An algorithm based on these tools is...