A New Approach to Image Enhancement by Intensity Transformation

S. Yelmanov, Y. Romanyshyn
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Abstract

Intensity transformation is most known technique of image processing in the spatial domain and is widely applied to enhance images in various real-time applications. However, the known techniques of intensity transformation have a number of disadvantages, which significantly limit their use in automatic mode. A new approach to image intensity transformation based on equalizing the distribution of brightness increments of objects in the image is proposed. The proposed approach provides an effective increase in the image contrast without the emergence of unwanted artifacts and without decreasing the contrast of objects with small sizes and has several advantages compared with the well-known technique of histogram equalization. The results of experimental research confirm the effectiveness of the proposed approach for image enhancement in automatic mode.
一种基于强度变换的图像增强新方法
强度变换是空间域图像处理中最著名的技术,在各种实时应用中被广泛应用于图像增强。然而,已知的强度转换技术有许多缺点,这大大限制了它们在自动模式下的使用。提出了一种基于平衡图像中物体亮度增量分布的图像强度变换新方法。该方法可以有效地提高图像对比度,而不会出现不必要的伪影,也不会降低小尺寸物体的对比度,与众所周知的直方图均衡化技术相比,该方法具有几个优点。实验研究结果验证了该方法在自动模式下图像增强的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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