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A hybrid approach to Image Enhancement using Contrast Stretching on Image Sharpening and the analysis of various cases arising using histogram

机译:使用直方图使用对比度伸展图像增强图像增强的混合方法,以及使用直方图产生的各种案例的分析

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Image Enhancement is one of the first steps in Image processing. In this technique, the original image is processed so that the resultant image is more suitable than the original for specific applications. Preprocessing an image include removal of noise, edge or boundary enhancement, automatic edge detection, automatic contrast adjustment and segmentation. Image enhancement is a purely subjective processing technique. An image enhancement technique used to process images might be excellent for a person but the same result might not be good enough for another. Image enhancement is a cosmetic procedure i.e. it does not add any extra information to the original image. It merely improves the subjective quality of the images by working with the existing data. This Research paper focuses on Contrast Stretching and Image Sharpening techniques. In this paper, an approach that simultaneously adjusts contrast and enhances boundaries is presented. Histogram has been plotted to verify the result of various cases arising due to implementation of contrast stretching on image sharpening. The edges of the objects in the image are also enhanced by this methodology. Various other edge enhancement techniques are also available like Contrast Stretching on Adaptive Thresholding for enhancing edges of MRI knee images. The proposed methodology shows much better result than the one said above.
机译:图像增强是图像处理中的第一步之一。在该技术中,处理原始图像,使得所得到的图像更适合于特定应用的原件。预处理图像包括去除噪声,边缘或边界增强,自动边缘检测,自动对比度调整和分割。图像增强是一种纯度主观的处理技术。用于处理图像的图像增强技术可能是一个人的优异,但相同的结果可能不足以另一个结果。图像增强是一种化妆品步骤i.e.它不会向原始图像添加任何额外信息。它仅通过处理现有数据来提高图像的主观质量。本研究文件侧重于对比度拉伸和图像锐化技术。本文介绍了一种同时调整对比度和增强边界的方法。已经绘制了直方图,以验证由于在图像锐化上延伸的对比度而产生的各种案例的结果。通过该方法也增强了图像中的对象的边缘。各种其他边缘增强技术也可以类似于对增强MRI膝部图像边缘的自适应阈值处理的对比度。所提出的方法显示出比上面所说的更好的结果。

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