# A Review: Image Processing Techniques' Roles towards Energy-Efficient and Secure IoT
## 8 Future Trends  
We will look forward to the future trends in this part, where we will talk about how image processing may help us make important improvements in the IoT. In general, IoTS have relied on a wide array of developing and emerging technologies. Digital image processing is one example of these technologies. The following are some predicted developments in image processing related to the IoT:  
1. Image processing seeks to help IoT be more secure, wherein all items linked with its infrastructure are engaged. Therefore, image processing techniques are continually being improved, and as a result, research that is devoted to improving image processing techniques should also try to reflect this improvement towards the growth of IoT in terms of various factors, including the security and safety of data [48];
2. When attempting to match images from both the collected and previously stored in-cloud images, it is essential that the data storage and communication networks used to do this be secure. Hence, the security of communication between the cloud and image-matching processing portion, on the one hand, and the safety and privacy of the remembered in-cloud-stored image, on the other hand, is a major concern and is a future trend of interaction between and integration of IoT and image processing;
3. In the case of IoTSs, the entire system will fail if there is an issue with the security of image matching processing or with the safety of image content, regardless of whether or not the fault is discovered;  
Figure 16: A graphical representation highlighting a number of commonalities between solutions (image processing techniques) and scenarios (IoTSs). In this simple representation, a solution (listed on the left side) can be utilized by an IoTS (listed in the middle—in a red-colored font) in order to attain such an energy-efficient and secure IoT environment. Images are licensed. Design is made by authors. * As a result, researchers need to have been concerned with this problem and ought to have either enhanced the security of communication between IoT parties [29];
* Image processing can contribute to IoT by decreasing the distance between two distant and remote workplaces;
* In the very near future, various programs will be employed for the objective of accessing digital and sensitive workplaces;
* An authentication and verification process by a third party, which might be the owner of the digital asset, as an example, is required to guarantee not just permitted access but also the security and confidentiality of its contents;
* So, initially, the first party will apply for authorized entry to the workplace. Secondly, a captured image is transmitted to the other party for verification purposes; however, a matching process is employed to help the decision-making. The third possibility is that the other party will permit such authorized access to keep the contents secure;
* For example, security improvement and computation time required to analyze either a single image or multi-frame images will be emphasized. An IoTS may either allow or deny an access request made by the authorized person [55];
* Recently, the problem of image encryption has been extensively considered to execute an image transfer to cloud storage. For the purpose of this operation, having a secure communication method is equally as vital as having secure image content. Image-based encryption is yet to progress to serve better and help in this goal. There is a requirement to boost the performance of the IoTS that wants to transmit images to cloud storage or to a distant portion. The most crucial problem to be addressed regarding IoTS performance is the security of the images' contents [50];
* Sending multi-frame images to the cloud with a little file size will be an important challenge in the future of IoT implementation. This is one of the key issues for both image processing and IoTSs owing to the massive storage created in the cloud.