Author = Nezamabadi-pour, H.
Number of Articles: 3
Volume 10, Issue 2 , April 2022, , Pages 257-268
AbstractThe present study aims to overcome some defects of the K-nearest neighbor (K-NN) rule. Two important data preprocessing methods to elevate the K-NN rule are prototype selection (PS) and prototype generation (PG) techniques. Often the advantage of these techniques is investigated separately. In this paper, ... Read More
Statistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation
Volume 8, Issue 2 , April 2020, , Pages 289-301
AbstractRemoving noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the ... Read More
Volume 7, Issue 3 , July 2019, , Pages 355-365