Fundamentals of digital image processing
Fundamentals of digital image processing
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Image interpolation and resampling
Handbook of medical imaging
Digital Image Processing
An image interpolator with image improvement for LCD controller
IEEE Transactions on Consumer Electronics
Winscale: an image-scaling algorithm using an area pixel model
IEEE Transactions on Circuits and Systems for Video Technology
A Simple Scaling Algorithm Based on Areas Pixels
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Reducing aliasing in images: a PDE-based diffusion revisited
Pattern Recognition
| Hi-index | 0.00 |
We present in this paper a new image scaling algorithm which is based on the generalized sampling theorem of Papoulis. The main idea consists in using the first and second derivatives of an image in the scaling process. The derivatives contain information about edges and discontinuities that should be preserved during resizing. The sampling theorem of Papoulis is used to combine this information. We compare our algorithm with eight of the most common scaling algorithms and two measures of quality are used: the standard deviation for evaluation of the blur, and the curvature for evaluation of the aliasing. The results presented here show that our algorithm gives the best images with very few aliasing, good contrast, good edge preserving and few blur.