Traditional image enhancement techniques produce different types of noise such as unnatural effects, over-enhancement, and artifacts, and these drawbacks become more prominent in enhancing dark images. To overcome these drawbacks, we propose a dark image enhancement technique where local transformation of the pixels have been performed. Here, we apply a transformation method of different parts of the histogram of an input image to get a desired histogram. Afterwards, histogram specification technique has been done on the input image using this transformed histogram. The performance of the proposed technique has been evaluated in both qualitative and quantitative manner, which shows that the proposed method improves the quality of the image with minimal unexpected artifacts as compared to the other techniques.

中文翻译：

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使用局部变换方法的用于暗图像增强的直方图指定技术

传统的图像增强技术会产生不同类型的噪声，例如不自然的效果，过度增强和伪影，这些缺陷在增强深色图像时变得更加突出。为了克服这些缺点，我们提出了一种暗图像增强技术，其中已经执行了像素的局部变换。在这里，我们对输入图像的直方图的不同部分应用一种变换方法，以获得所需的直方图。之后，使用此变换后的直方图对输入图像进行了直方图指定技术。已经以定性和定量的方式评估了所提出技术的性能，这表明与其他技术相比，所提出的方法以最小的意外伪影提高了图像质量。