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  2. Volume 7, Issue 4
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Online ISSN: 2515-8260

Volume7, Issue4

Soft computing-based color image De-mosaicing for medical Image processing

    R. Aamani Venkateswarlu Sunkari Elefelious Getachew Belay Rajesh V K Saikumar A. SampathDakshina Murthy

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 895-909

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Abstract

As digital cameras become more enhanced and smaller, 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.
Keywords:
    Charge coupled devices (CCD). Fuzzy logic (FL).Genetic algorithm (GA). Peak Signal to noise ratio (PSNR). Hue transition (HT). Adaptive CFA-ACFA. Hybrid algorithm (HA)
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(2020). Soft computing-based color image De-mosaicing for medical Image processing. European Journal of Molecular & Clinical Medicine, 7(4), 895-909.
R. Aamani; Venkateswarlu Sunkari; Elefelious Getachew Belay; Rajesh V; K Saikumar; A. SampathDakshina Murthy. "Soft computing-based color image De-mosaicing for medical Image processing". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 895-909.
(2020). 'Soft computing-based color image De-mosaicing for medical Image processing', European Journal of Molecular & Clinical Medicine, 7(4), pp. 895-909.
Soft computing-based color image De-mosaicing for medical Image processing. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 895-909.
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