Now showing items 1-4 of 4
Evolutionary Multiobjective Multiple Description Wavelet Based Image Coding in the Presence of Mixed Noise in Images
(Applied Soft Computing, 2018-10-06)
In this paper, a novel method for generation of multiple description (MD) wavelet based image coding is proposed by using Multi-Objective Evolutionary Algorithms (MOEAs). Complexity of the multimedia transmission problem ...
Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach
(Mathematical Problems in Engineering, 2018-04-16)
A new unsupervised approach based on a hybrid wavelet transform and Fuzzy Clustering Method (FCM) with Multiobjective Particle Swarm Optimization (MO-PSO) is proposed to obtain a binary change mask in Landsat images acquired ...
Change Detection in Multispectral Landsat Images Using Multi-Objective Evolutionary Algorithms
(IEEE Geoscience and Remote Sensing Letters, 2017-01-20)
In this letter, we propose a novel method for unsupervised change detection in multitemporal multispectral Landsat images using multiobjective evolutionary algorithm (MOEA). The proposed method minimizes two different ...
ARDIS: a Swedish historical handwritten digit dataset
(Neural Computing and Applications, 2019-03-29)
This paper introduces a new image-based handwritten historical digit dataset named Arkiv Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish church records which were written by different ...