Image Enhancement with Applications in Biomedical Processing

  • Małgorzata CharytanowiczEmail author
  • Piotr Kulczycki
  • Szymon Łukasik
  • Piotr A. Kowalski
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 945)


The images obtained by X-Ray or computed tomography (CT) may be contaminated with different kinds of noise or show lack of sharpness, too low or high intensity and poor contrast. Such image deficiencies can be induced by adverse physical conditions and by the transmission properties of imaging devices. A number of enhancement techniques in image processing may improve the quality of the image. These include: point arithmetic operations, smoothing and sharpening filters and histogram modifications. The choice of the technique, however, depends on the type of image deficiency. In this paper, the primary aim is to propose an efficient image enhancement method based on nonparametric estimation so as to enable medical images to have better contrast. To evaluate the method performance, X-Ray and CT images have been studied. Experimental results verify that applying this approach can engender good image enhancement performance when compared with classical techniques.


Image enhancement Contrast stretching Nonparametric estimation Numerical algorithm X-ray images 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Małgorzata Charytanowicz
    • 1
    • 2
    Email author
  • Piotr Kulczycki
    • 1
    • 3
  • Szymon Łukasik
    • 1
    • 3
  • Piotr A. Kowalski
    • 1
    • 3
  1. 1.Centre of Information Technology for Data Analysis MethodsPolish Academy of Sciences, Systems Research InstituteWarsawPoland
  2. 2.Electrical Engineering and Computer Science FacultyLublin University of TechnologyLublinPoland
  3. 3.Faculty of Physics and Applied Computer Science, Division for Information Technology and BiometricsAGH University of Science and TechnologyCracowPoland

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