The rapid expansion of the Internet of Things (IoT) has introduced new challenges in ensuring the security and privacy of transmitted data, particularly images. Traditional encryption techniques often fall short in addressing the unique constraints of IoT devices, such as limited computational power and energy resources. This survey paper provides a comprehensive review of image encryption strategies based on chaotic maps and Cellular Automata (CA), which have emerged as promising solutions for secure image transmission in IoT environments. Chaotic maps leverage the inherent unpredictability of chaos theory to create robust encryption mechanisms, while CA offer a decentralized approach that is well-suited for lightweight implementations. The paper explores various models and algorithms that utilize these techniques, highlighting their strengths, limitations, and applicability to IoT systems. Additionally, it discusses recent advancements in the field and potential future directions for research. The objective of this survey is to provide a useful tool for professionals and researchers who are looking for picture encryption solutions that are both effective and efficient, specifically designed for IoT applications.