A novel approach for colour correction of depth 3-D image and security in RGB-D systems
Sujeet Prakash Singh, Princy Singh · 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · 2017
Today image processing and utilizations based on RGB-D data have huge interest in various research areas. Regarding segmentation, colour correction, depth information, comprehensive description of 3-Dimension scenes in RGB Depth data provides useful hints from another dimension to segregate substance in close colours. Here, a novel method is discussed to resolve such mixed, lost, and noise level increase of pixel problems of the RGB-D system and has been simulated using MATLAB software. Apart of colour correction images is secured by using hybrid cryptography method. The advantage of MATLAB is, it is widely available, continuously updated and has wider reach. In our approach, mixed pixel areas are detected using super pixel segmentation of colour and depth, and consolidate them to lost pixel regions. In addition, a hybrid filter is used to remove noise level of pixels. Experimental results shows the proposed method gives better performance on Mean, Intensity, Area, Perimeter, security.