A New Image Interpolation Algorithm Based on Pulse-Coupled Neural Networks
Chunmei Liu, Lei Xu, Wen Cao · 2011
To reduce the edge saw tooth and blur of image during the digital image interpolation, a new image interpolation method base on Pulse-Coupled Neural Networks (PCNN) is proposed. Firstly, the clusters and the propagation paths of pulse are obtained by using the synchronous pulse burst property of PCNN. Different interpolation methods are used in the inner of clusters and at the intervals of clusters to complete all interpolations of image. The results of experiments indicate that the interpolation algorithm is more effective and satisfying than the classical algorithms in terms of both Peak Signal-to-Noise Ratio ( PSNR) and visual quality.