APPLICATION OF GENETIC ALGORITHM FOR IMAGE TRANSFER
DOI:
https://doi.org/10.51594/csitrj.v1i2.134Keywords:
Genetic Algorithm, Image, Permutation, Greedy AlgorithmAbstract
For images transfer, different embedding system exist which works by creating a mosaic image from the source image and recovery from the target image using some sort of algorithm. In current study, a method is proposed using the genetic algorithm for recovery of image from the source image. The algorithm utilized is genetic algorithm which is a search method along with another additional technique for obtaining higher robustness and security. The proposed methodology works by dividing the source image into smaller parts which are fitted into target image using the lossless compression. The mosaic image is recovered at retrieving side by the permutation array which is recovered and mapped using the pre-select key.Published
2020-04-18
How to Cite
Pereira, P., & Kuhn, T. (2020). APPLICATION OF GENETIC ALGORITHM FOR IMAGE TRANSFER. Computer Science & IT Research Journal, 1(2), 44-51. https://doi.org/10.51594/csitrj.v1i2.134
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1. Authors retain the copyright and grant us (Fair East Publishing and its subsidiary journals) the right for first publication with the work licensed under a Creative Commons Attribution (CC BY) License which permits others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal. Under this license, author retains the ownership of the copyright of their content, but anyone is allowed to download, reuse, reprint, modify, distribute, and/or copy the contents as long as the original authors and source are cited. No permission is required from the publishers or authors.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (for example, publishing it as a book or submitting it to an institutional repository), with an acknowledgment of its initial publication in Fair East Publishing owned journals.
3. We encourage our authors/contributors to post their work online (such as posting it on their website or some institutional repositories) prior to and during the submission process since it produces scholarly exchange and greater and earlier citation of published work.
