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R is a powerful statistical programming language that has increasingly been used in digital image processing, particularly for image enhancement tasks. Image enhancement refers to techniques that improve the visual appearance of an image or make it more suitable for further analysis by emphasizing important features such as edges, contrast, or texture. In R, image enhancement is supported through several dedicated packages like imager, EBImage, magick, and raster, which provide functions for reading, processing, and visualizing images efficiently. One of the fundamental uses of R in image enhancement is contrast improvement. Many images suffer from poor contrast due to inadequate lighting or sensor limitations. R allows contrast stretching and histogram equalization to address this problem. For example, using the EBImage package, an image can be normalized so that ________ _______ ___ ____ __________.
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