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In order to make the algorithm simple, efficient, and with a large key space, in various articles, researchers have been developed image encryption algorithms based on multi-types of chaotic maps. Behnia et al. devised an image encryption system based on a blend of chaotic maps in (Behnia, Akhshani, Mahmodi, & Akhavan, 2008). The authors of (Behnia, Akhshani, Mahmodi, & Akhavan, 2008) used HD chaotic maps in addition to 1D chaotic maps to obtain a high level of security. However, the algorithm's speed may be hampered by the employment of both 1D and HD maps. Abd El-Latif et al. devised an image encryption approach based on multiple 1D chaotic maps in (El-Latif, Li, Zhang, Wang, Song, & Niu, 2012). Various 1D chaotic maps are employed in this method. The algorithm in (El-Latif, Li, Zhang, Wang, Song, & Niu, 2012) has a huge key space and a good level of security. Zhang et al. (Zhang, El-Latif, Amin, & Zaghloul, 2014) developed another multiple 1D chaotic map based colour image encryption technique. The Tent-Sine map, Logistic-Sine map, and Logistic-tent map are used in this technique to conduct the encryption function. The method (Zhang, El-Latif, Amin, & Zaghloul, 2014) enables for the regulation of speed and security trade-offs. In image encryptions, the usage of various types of chaotic 1D maps improves security but lowers software-hardware efficiency. To improve the algorithm's software-hardware efficiency, this work employs a single 1D chaotic map-Piece-wise Linear Chaotic Map (PWLCM) several times. This not only increases software-hardware efficiency, but it also expands the key space and lowers the computational complexity of the method.