Abstract
Image enhancement is widely used in the area of image processing to improve the quality of image without content manipulation. In the present year, COVID-19 has spread widely in the world which is affecting the lungs of the human body. The X-ray images of human lungs are considered for detecting the patients affected by COVID-19. Therefore, the initial step before detection process is the pre-processing step which involves image enhancement. In the present paper, various methods of image enhancement like Linear transformation, Logarithmic transformation, Power Law transformation, Contrast-Stretching Transformations, Histogram equalization, Contrast limited adaptive histogram equalizer were analyzed based on the parameters like Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).
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Priya, Devi, R. (2021). Performance Analysis of Image Enhancement Techniques on X-Ray Images. In: Marriwala, N., Tripathi, C.C., Jain, S., Mathapathi, S. (eds) Soft Computing for Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-1048-6_49
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DOI: https://doi.org/10.1007/978-981-16-1048-6_49
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