Search
Now showing items 1-5 of 5
Total Variation for Image Denoising Based on a Novel Smart Edge Detector: An Application to Medical Images
(
Springer New York LLC
, 2019 , Article)
In medical imaging applications, diagnosis relies essentially on good quality images. Edges play a crucial role in identifying features useful to reach accurate conclusions. However, noise can compromise this task as it ...
Modified total variation regularization using fuzzy complement for image denoising
(
IEEE Computer Society
, 2016 , Conference Paper)
In this paper, we propose a denoising algorithm based on the Total Variation (TV) model. Specifically, we associate to the regularization term of the Rodin-Osher-Fatimi (ROF) functional a small weight whenever denoising ...
Edge guided total variation for image denoising
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new edge ...
Cluster validity index based on Jeffrey divergence
(
Springer London
, 2017 , Article)
Cluster validity indexes are very important tools designed for two purposes: comparing the performance of clustering algorithms and determining the number of clusters that best fits the data. These indexes are in general ...
Multispectral image denoising with optimized vector non-local mean filter
(
Elsevier Inc.
, 2016 , Article)
Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it ...