H.5. Image Processing and Computer Vision
An Optimal Hybrid Method to Detect Copy-move Forgery

Fatemeh Zare mehrjardi; Alimohammad Latif; Mohsen Sardari Zarchi

Volume 11, Issue 3 , July 2023, , Pages 429-442

https://doi.org/10.22044/jadm.2023.13166.2453

Abstract
  Image is a powerful communication tool that is widely used in various applications, such as forensic medicine and court, where the validity of the image is crucial. However, with the development and availability of image editing tools, image manipulation can be easily performed for a specific purpose. ...  Read More

H.5. Image Processing and Computer Vision
A New Scheme for Lossless Meaningful Visual Secret Sharing by using XOR Properties

Z. Mehrnahad; A.M. Latif; J. Zarepour Ahmadabadi

Volume 11, Issue 2 , April 2023, , Pages 195-211

https://doi.org/10.22044/jadm.2023.12460.2395

Abstract
  In this paper, a novel scheme for lossless meaningful visual secret sharing using XOR properties is presented. In the first step, genetic algorithm with an appropriate proposed objective function created noisy share images. These images do not contain any information about the input secret image and ...  Read More

Bio-inspired Computing Paradigm for Periodic‎ Noise Reduction in Digital Images

N. Alibabaie; A.M. Latif

Volume 9, Issue 1 , January 2021, , Pages 19-29

https://doi.org/10.22044/jadm.2020.9358.2071

Abstract
  Periodic noise reduction is a fundamental problem in image processing, which severely affects the visual quality and subsequent application of the data. Most of the conventional approaches are only dedicated to either the frequency or spatial domain. In this research, we propose a dual-domain approach ...  Read More

Joint Burst Denoising and Demosaicking via Regularization and an Efficient Alignment

R. Azizi; A. M. Latif

Volume 8, Issue 4 , November 2020

https://doi.org/10.22044/jadm.2020.9193.2055

Abstract
  In this work, we show that an image reconstruction from a burst of individually demosaicked RAW captures propagates demosaicking artifacts throughout the image processing pipeline. Hence, we propose a joint regularization scheme for burst denoising and demosaicking. We model the burst alignment functions ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
Tuning Shape Parameter of Radial Basis Functions in Zooming Images using Genetic Algorithm

A.M Esmilizaini; A.M Latif; Gh. Barid Loghmani

Volume 6, Issue 2 , July 2018, , Pages 251-262

https://doi.org/10.22044/jadm.2017.4815.1575

Abstract
  Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in ...  Read More