A.1. General
Salt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter

S. Asadi Amiri

Volume 8, Issue 1 , January 2020, , Pages 119-126


  Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. ...  Read More

H.3.2.2. Computer vision
A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image

M. H. Khosravi

Volume 7, Issue 1 , January 2019, , Pages 27-34


  Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step ...  Read More