HDMI: A Novel Modeling of Hybrid Dimensionality Reduction Technique for Medical Imaging

摘要

In the present era, the visual quality of medical data has become most significant issues in World Health Organization (WHO) as well as developing countries in the medical field. Currently, the medical data is shared between inter-hospitals using manually. However, the demanding issues are the storage and communication of massive volume of complex medical data. This paper describes a novel concept of hybrid image compression techniques for medical imagining using Compressive Sensing (CS). Here, we implemented a region based compression a scheme such as the Region-of-Interest (ROI) has compressed with lossless compression techniques, and the remaining part of an image has compressed with a lossy compression method like Compressive sensing. So, the challenge is gaining an equal quality of image for both ROI and Non-ROI and overcoming optimized dimension reduction by sparsity into Non-ROI and hence, medical image transmission over limited bandwidth network. The investigational outcomes demonstrations that the extraordinary reliability data storage, reduction in dimension and better visual perception quality of reconstructed data.