activity
20152023
most citedMulti-focus image fusion using VOL and EOL in DCT domain

5 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Accuracy Improvement in Differentially Private Logistic Regression: A Pre-training Approach

Mohammad Hoseinpour, Milad Hoseinpour, Ali Aghagolzadeh

Machine learning (ML) models can memorize training datasets. As a result, training ML models over private datasets can lead to the violation of individuals' privacy. Differential p…

cs.CV2017★ 5 cited

Multi-focus image fusion using VOL and EOL in DCT domain

Mostafa Amin-Naji, Ali Aghagolzadeh

The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focused imag…

cs.CV2017★ 3 cited

Block DCT filtering using vector processing

Mostafa Amin-Naji, Ali Aghagolzadeh

Filtering is an important issue in signals and images processing. Many images and videos are compressed using discrete cosine transform (DCT). For reducing the computation complexi…

cs.MM2015★ 1 cited

Compressive Video Sensing via Dictionary Learning and Forward Prediction

Nasser Eslahi, Ali Aghagolzadeh, Seyed Mehdi Hosseini Andargoli

In this paper, we propose a new framework for compressive video sensing (CVS) that exploits the inherent spatial and temporal redundancies of a video sequence, effectively. The pro…

cs.CV2015

Mixed Gaussian-Impulse Noise Removal from Highly Corrupted Images via Adaptive Local and Nonlocal Statistical Priors

Nasser Eslahi, Hami Mahdavinataj, Ali Aghagolzadeh

The motivation of this paper is to introduce a novel framework for the restoration of images corrupted by mixed Gaussian-impulse noise. To this aim, first, an adaptive curvelet thr…