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Performance analysis of three-dimensional medical image compression based on discrete wavelet transform

The primary target of this paper is to explore, inspect and analyze the performance of 3D medical image compression based on Discrete Wavelet Transform (DWT) over the 2D medical images. Due to the advent of therapeutic picture and medical image modalities such as X-ray, CT imaging, MRI, ultrasound and digital video, a large volume of 2D and 3D image data are being created in hospitals and medical organizations nowadays. The photo-realistic 3D models are not only for representation and visualization but also for smart movement and transport of substance for the Image Guided Surgery (IGS). One of the challenges, obstacles and hurdles faced by the health care institutions is limited data transmission speed to get to, exchange and share these therapeutic pictures for the smart E-health services for the vital and essential indicative analysis. Image compression gives the best alternatives for reducing and diminishing the storage capacity and transmission time. The wavelet toolbox of MATLAB is utilized for investigating this research study. The simulation results exhibit that the proposed algorithm gives the best choice for identifying the right or most suitable wavelet filter for 2D and 3D medical images.