no code implementations • 15 May 2023 • Omid Rezaei, Mahdi Ahmadi, Mohammad Mahdi Naghsh, Augusto Aubry, Mohammad Mahdi Nayebi, Antonio De Maio
In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learning-inspired method.
no code implementations • 31 Dec 2019 • Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi
Image retargeting is a new image processing task that renders the change of aspect ratio in images.
no code implementations • 17 Oct 2019 • Mahdi Ahmadi, Nader Karimi, Shadrokh Samavi
In this paper, we introduce the proposed methods in both saliency detection and retargeting.
1 code implementation • 16 Oct 2018 • Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami
Due to the rapid growth of machine learning tools and specifically deep networks in various computer vision and image processing areas, application of Convolutional Neural Networks for watermarking have recently emerged.
no code implementations • 22 Sep 2018 • Milad Tehrani, Mahnoosh Bagheri, Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi
In this paper, we utilize an instance segmentation neural network to obtain a class mask for separately filtering the background and foreground of an image.
no code implementations • 21 Feb 2018 • Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian
By increasing the volume of telemedicine information, the need for medical image compression has become more important.
no code implementations • 31 Dec 2017 • Mahdi Ahmadi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
In this paper a saliency map is proposed, based on image context detection using semantic segmentation as a high level feature.