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In the current scenario, frequency domain techniques are widely preferred which are mostly transform based approaches. Conventionally, the secret data is hidden randomly in the coefficients of the transformed image. However, such random data hiding techniques lead to inferior performance of the overall system. Thus, using an optimization algorithm is obligatory to find out the optimal coefficients. Genetic Algorithm (GA) is normally used for selecting the optimal transform coefficients to enhance the system performance. However, conventional GA based approaches are highly random in nature which again leads to inaccurate results. In this work, a modified GA approach was proposed to determine the optimal coefficients in order to improve the embedding capacity and stego image quality. The achieved average peak signal to noise ratio (PSNR) was 50.29\u200adB with embedding capacity of 139361 bits. These experimental results validate the practical feasibility of the proposed methodology for image steganography.<\/jats:p>","DOI":"10.3233\/jifs-169580","type":"journal-article","created":{"date-parts":[[2018,4,17]],"date-time":"2018-04-17T11:53:48Z","timestamp":1523966028000},"page":"197-209","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":19,"title":["A modified genetic algorithm for performance improvement of transform based image steganography systems"],"prefix":"10.1177","volume":"35","author":[{"given":"D.","family":"Jude Hemanth","sequence":"first","affiliation":[{"name":"ECE department, Karunya University, Coimbatore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J.","family":"Anitha","sequence":"additional","affiliation":[{"name":"ECE department, Karunya University, Coimbatore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniela 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