activity
20182022
most citedAn Effective Scheme for Maize Disease Recognition based on Deep Networks

4 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20224 cited

An Effective Scheme for Maize Disease Recognition based on Deep Networks

Saeedeh Osouli, Behrouz Bolourian Haghighi, Ehsan Sadrossadat

In the last decades, the area under cultivation of maize products has increased because of its essential role in the food cycle for humans, livestock, and poultry. Moreover, the di…

cs.CV20222 cited

EYNet: Extended YOLO for Airport Detection in Remote Sensing Images

Hengameh Mirhajianmoghadam, Behrouz Bolourian Haghighi

Nowadays, airport detection in remote sensing images has attracted considerable attention due to its strategic role in civilian and military scopes. In particular, uncrewed and ope…

cs.CR2020

WSMN: An optimized multipurpose blind watermarking in Shearlet domain using MLP and NSGA-II

Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Ahad Harati +1

Digital watermarking is a remarkable issue in the field of information security to avoid the misuse of images in multimedia networks. Although access to unauthorized persons can be…

cs.CR2018

TRLG: Fragile blind quad watermarking for image tamper detection and recovery by providing compact digests with quality optimized using LWT and GA

Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Amir Hossein Mohajerzadeh

In this paper, an efficient fragile blind quad watermarking scheme for image tamper detection and recovery based on lifting wavelet transform and genetic algorithm is proposed. TRL…

cs.CR2018

TRLF: An Effective Semi-fragile Watermarking Method for Tamper Detection and Recovery based on LWT and FNN

Behrouz Bolourian Haghighi, Amir Hossein Taherinia, Reza Monsefi

This paper proposes a novel method for tamper detection and recovery using semi-fragile data hiding, based on Lifting Wavelet Transform (LWT) and Feed-Forward Neural Network (FNN).…