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STFTSM: noise reduction using soft threshold-based fuzzy trimmed switch median filter

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Abstract

The lung diagnosis is one of the essential needs of the medical world. Lung CT images are often affected by salt and pepper noise (or impulse noise) that results the diagnosis output as an imperfect one. The occurrence of impulse noise reduces the accuracy of lung diagnosis which leads the pulmonologists to prescribe wrong treatments or surgery. Image denoising techniques reduce the impulse noise to enhance the quality of medical images. The existing denoising methods are suffered by less denoising-quality, incapable for huge level noise and high time consumption. Hence, there is a need of a new denoising method for the removal of impulse noise in lung CT images. This paper proposes a novel denoising method for impulse noises of lung CT images namely 'Noise reduction using Soft Threshold-based Fuzzy Trimmed Switching Median filter (STFTSM)'. The STFTSM filter removes the noise based on the four concepts, viz. soft threshold computation, fuzzy logic, trimming process and switching median technique. The main contributions of this paper are: (a) soft computation-based max-window-size determination and (b) fuzzy membership determination using switching median-based fuzzy absolute luminance difference computation, soft thresholding approach and fused parallelogram shaped windows. The performance analysis proves that this filter is robust one against the heavy noise environment of lung CT images, and it has less time consumption and significant improvement in peak signal-to-noise ratio by achieving 26.16 db for 90% noise environment.

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Authors and Affiliations

  1. Department of Computer Science and Centre for Research, S.T. Hindu College (Affiliated to Manonmaniam Sundaranar University, Tirunelveli), Nagercoil, Tamil Nadu, India

    V. Juliet Rani

  2. Department of Computer Science and Applications, S.T. Hindu College (Affiliated to Manonmaniam Sundaranar University, Tirunelveli), Nagercoil, Tamil Nadu, India

    K. K. Thanammal

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  1. V. Juliet Rani
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  2. K. K. Thanammal
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Correspondence to V. Juliet Rani.

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Juliet Rani, V., Thanammal, K.K. STFTSM: noise reduction using soft threshold-based fuzzy trimmed switch median filter. Soft Comput 26, 947–960 (2022). https://doi.org/10.1007/s00500-021-06599-z

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