A major part of studies in digital image processing is devoted to image denoising. Image denoising is a classical research topic in image processing. The transformation of images has become a major method of communication in the modern era, but the image obtained after transmission is often corrupted with noise. MRI is more accurate for imaging soft tissues such as brain and muscles. It can diagnose a broad range of abnormality conditions like cancer, tumour, blockages, internal injuries, etc. It does not depend on the ionizing radiation, hence is a non-invasive technique. The MRI technique provides excellent contrast between the normal tissues and the diseased tissues. MRI is the scanner technology that has undergone tremendous improvements in spatial resolution, acquisition speed, and signal-to-noise ratio (SNR). The various techniques of medical image denoising are reviewed and analysed in terms of certain parameters.

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Medical Image Denoising Techniques: Challenges and Future Directions

  • Deepali Sharma,
  • Amit Doegar,
  • Savita Walia

摘要

A major part of studies in digital image processing is devoted to image denoising. Image denoising is a classical research topic in image processing. The transformation of images has become a major method of communication in the modern era, but the image obtained after transmission is often corrupted with noise. MRI is more accurate for imaging soft tissues such as brain and muscles. It can diagnose a broad range of abnormality conditions like cancer, tumour, blockages, internal injuries, etc. It does not depend on the ionizing radiation, hence is a non-invasive technique. The MRI technique provides excellent contrast between the normal tissues and the diseased tissues. MRI is the scanner technology that has undergone tremendous improvements in spatial resolution, acquisition speed, and signal-to-noise ratio (SNR). The various techniques of medical image denoising are reviewed and analysed in terms of certain parameters.