Introduction to Genetic Algorithm and Its Role in Image Processing |
Author(s): |
| Kratika Giri Goswami , Geetanjali Institute of Technical Studies; Dr. Anurag Paliwal, Geetanjali Institute of Technical Studies |
Keywords: |
| Genetic Algorithm, Digital Image, Encryption, Random Keys, Pixels |
Abstract |
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Genetic algorithm stimulate the process of biological evolution using survival principle of the fittest. Using genetic algorithm, digital image can be encrypted using different encryption techniques. In this each pixel of an image acts as an individual and these individuals are represented by a binary string which acts as chromosomes, then a group of chromosomes forms a population. After formation of population, random keys are generated using pseudorandom code which is used in encryption. The three main components of genetic algorithm are selection, crossover and mutation operator applied to the chromosome again and again. |
Other Details |
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Paper ID: IJSRDV6I120333 Published in: Volume : 6, Issue : 12 Publication Date: 01/03/2019 Page(s): 447-449 |
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