Somorjeet Singh

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The presence of systematic noise in images in high-throughput microscopy experiments can significantly impact the accuracy of downstream results. Among the most common sources of systematic noise is non-homogeneous illumination across the image field. This often adds an unacceptable level of noise, obscures true quantitative differences and precludes(More)
For a detailed visibility of an image, since only the global enhancement is not sufficient, local contrast enhancement plays a great role. One of the successful locally adaptive image contrast enhancement methods is by using Local Standard Deviation (LSD). The contrast enhancement using LSD is successfully used in many applications like in medical images,(More)
For a method for enhancing an image, if it improves the quality enough or it nearly equals to the better method, the primary concern is the speed or the computational complexity and simplicity. Using global contrast stretching, low contrast image can be enhanced with an adjustable manner. Our method is based on a very simple algorithm. Its advantage is that(More)
Since local contrast enhancement is not sufficient for a detailed visibility of an image, global enhancement also cannot be neglected. Among the global contrast enhancement methods, the automatic enhancement method like Global Histogram Equalization is not always desirable to utilize it for some images that some portions are overexposure and some portions(More)
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