H.5. Image Processing and Computer Vision
A new scheme for lossless meaningful visual secret sharing by using XOR properties

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

Articles in Press, Accepted Manuscript, Available Online from 06 May 2023


  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


  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


  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


  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