Vice Chancellery for Research and Technology, University of Tabriz Advanced Signal Processing 2676-3397 1 1 2017 02 19 Using Genetic and Hill Climbing Algorithms to Improve Performance of Image Steganography Using Genetic and Hill Climbing Algorithms to Improve Performance of Image Steganography 15 25 5528 10.22034/jasp.2017.5528 FA Vahideh Rashidzadeh Faculty of Electrical and Computer Engineering, University of Tabriz Mohammad Ali Balafar Faculty of Electrical and Computer Engineering, University of Tabriz Seyed Naser Razavi Faculty of Electrical and Computer Engineering, University of Tabriz Journal Article 2016 05 24 In this paper, a new method based on genetic and hill Climbing algorithms for steganography in image is proposed. Data is embedded in LSB. In order to enhance image quality and storage capacity, genetic algorithm is utilized which model hiding as a search and optimization process. Also, to speed up the search function with genetic algorithm, local search and hill Climbing algorithms have been used. The findings show that the hiding image quality is acceptable while capacity is increased. Also, hill Climbing Algorithm speed up the hiding process. In this paper, a new method based on genetic and hill Climbing algorithms for steganography in image is proposed. Data is embedded in LSB. In order to enhance image quality and storage capacity, genetic algorithm is utilized which model hiding as a search and optimization process. Also, to speed up the search function with genetic algorithm, local search and hill Climbing algorithms have been used. The findings show that the hiding image quality is acceptable while capacity is increased. Also, hill Climbing Algorithm speed up the hiding process. https://jasp.tabrizu.ac.ir/article_5528_b228f35589d87b3f7bc6bf94e4df830b.pdf