A Deep Learning-based Model for Gender Recognition in Mobile Devices

Fatemeh Alinezhad; Kourosh Kiani; Razieh Rastgoo

Volume 11, Issue 2 , April 2023, , Pages 229-236

https://doi.org/10.22044/jadm.2023.12487.2398

Abstract
  Gender recognition is an attractive research area in recent years. To make a user-friendly application for gender recognition, having an accurate, fast, and lightweight model applicable in a mobile device is necessary. Although successful results have been obtained using the Convolutional Neural Network ...  Read More

Automatic Grayscale Image Colorization using a Deep Hybrid Model

K. Kiani; R. Hematpour; R. Rastgoo

Volume 9, Issue 3 , July 2021, , Pages 321-328

https://doi.org/10.22044/jadm.2021.9957.2131

Abstract
  Image colorization is an interesting yet challenging task due to the descriptive nature of getting a natural-looking color image from any grayscale image. To tackle this challenge and also have a fully automatic procedure, we propose a Convolutional Neural Network (CNN)-based model to benefit from the ...  Read More

A Deep Model for Super-resolution Enhancement from a Single Image

N. Majidi; K. Kiani; R. Rastgoo

Volume 8, Issue 4 , November 2020, , Pages 451-460

https://doi.org/10.22044/jadm.2020.9131.2052

Abstract
  This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model ...  Read More