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Soft computing based color image demosaicing for medical Image processing

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Abstract

As digital cameras become more enhanced and small, CCD sensors can relate to only one color of a pixel. This color mosaic pattern is called as Bayer Pattern(BP) which requires processing to obtain a color image with a higher resolution. Each image pixel that undergoes interpolation has a full color spectrum based on surrounding pixel colors. Here we introduce Adaptive CFA(ACFA) interpolation model. For normal image regions hue technique is used while edge regions adapt the new technique. It is proposed to apply fuzzy logic and fuzzy rule which is based on Genetic Algorithm that uses random local search to enhance the PSNR. Medical image reconstruction by this proposed fuzzy based method outperforms the other medical image reconstruction methods.

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Authors and Affiliations

  1. Department of ECE, Vaagdevi college of Engineering, Warangal, Telungana State, India

    D. R. Ramji & A. Nithya

  2. Department of ECE, Teegala Krishna Reddy Engineering College, Hyderabad, Telangana State, India

    C. Anna Palagan

  3. Department of ECE, Infant Jesus College of Engineering, Tuticorin, India

    Ahilan Appathurai

  4. Department of ECE, CMR institute of Technology, Hyderabad, Telangana State, India

    E. John Alex

Authors
  1. D. R. Ramji
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  2. C. Anna Palagan
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  3. A. Nithya
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  4. Ahilan Appathurai
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  5. E. John Alex
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Correspondence to D. R. Ramji.

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Ramji, D.R., Palagan, C.A., Nithya, A. et al. Soft computing based color image demosaicing for medical Image processing. Multimed Tools Appl 79, 10047–10063 (2020). https://doi.org/10.1007/s11042-019-08091-1

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  • DOI: https://doi.org/10.1007/s11042-019-08091-1

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