Image improvement is the process of improving the visual quality of images from original images to get better image results. the initial method of image correction is Histogram Equalization (HE) is a technique that is proven to be able to improve image quality, especially the increase in contrast due to simplicity and ease of implementation. In this study the ESIHE technique will be compared with other enhancement techniques, such as Histogram Equalization (HE), Adaptive Histogram Equalization

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... AHE) from the side of the image results. Next, to assess the even distribution of the histogram, entropy is used to measure the uncertainty associated with the random variable. The aim is to find out which method or technique is the most optimal with the original image. After entropy assessment and analysis, the researcher can conclude that, the ESIHE technique is suitable for comparison of image enhancement with HE and AHE methods.