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An adaptive image sharpening scheme based on local intensity variations

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Abstract

Unsharp masking-based approaches are widely used in consumer electronics and printing technology for increasing the sharpness of the image. In the classical approaches, such improvements are achieved by adding the high-frequency details to the underlying image without considering any noise present in the image. As a result, such approaches yield visually poor results on noise-deteriorated images. In this paper, we propose an adaptive unsharp masking scheme which can tolerate the noise content, i.e., proposed algorithm will perform sharpening operation on the required regions thereby reducing the visual effects of the noise. Experimentally, it has been found out that the proposed approach yields better visual results than classical unsharp masking approach in the presence of noise.

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Authors and Affiliations

  1. Department of Electronics and Instrumentation Engineering, National Institute of Technology, Silchar, Assam, 788 010, India

    Neeraj Kumar Singh & Arun Kumar Sunaniya

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  1. Neeraj Kumar Singh
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  2. Arun Kumar Sunaniya
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Correspondence to Neeraj Kumar Singh.

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Singh, N.K., Sunaniya, A.K. An adaptive image sharpening scheme based on local intensity variations. SIViP 11, 777–784 (2017). https://doi.org/10.1007/s11760-016-1022-2

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  • DOI: https://doi.org/10.1007/s11760-016-1022-2

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