摘要： In many areas, visual privacy needs the protection, especially in video surveillance. Video surveillance is considered as an important solution for the security and safety issues in public places, since it monitors behaviour, activities, or other changing information. Its usage is increased in today’s world which affects individual’s privacy. There comes the need of visual privacy protection in video surveillance. Local servers can not store and analyze this large amount of data from the surveillance camera. So usage of cloud servers can solve this problem. But there is a chance to acquire these data by unauthorized parties. Different schemes for data hiding are present, which reversibly encrypts this data. But such systems need to do the detection of sensitive regions either by using a computer vision module or manually which increases complexity and reduces reliability. So two fully reversible privacy protection schemes for images using false coloring can be used. First scheme is more generic i.e., it is ?exible with other privacy protection schemes and the next scheme is fully based on false colors. These schemes are independent of region-of-interest (ROI) detection and can be applied to the whole image. So the user can escape from the complex ROI detection. A color palette generation method is also added with these schemes which increases the security.