Non-uniform Data Reduction Technique with Edge Preservation to Improve Diagnostic Visualization of Medical Images
K. Vidhya, Tummala Ranga Babu, B. Thilakavathi, S. Poovizhi, P. Madhumathy · 2021
Some of the medical imaging techniques are Computed Tomography, Magnetic Resonance Imaging, or Ultrasound imaging which produce digital images. For efficient storage and transmission, digital image compression becomes important to medical personnel and a highly anticipated subject matter in medical discourse. For data reduction and to reduce the size of images, we need systems to provide complete diagnostic information. Using the threshold procedure that reduces the size of medical images while preserving analytical information, ostensibly by increasing Compression Ratio (CR), this paper recommends an image data reduction method that is planned to generate images with greater image fidelity and high compression efficiency. To improve diagnostic visualization of medical images, wavelet transform algorithm with edge enhancement is recommended, and for data reduction, a multi-thresholding algorithm is used. In data reduction algorithm, one-level wavelet decomposition based on threshold coefficient selection is used.