在 CCTV 视觉观察中应用直方图归一化增强照明对比度

Saluky Saluky, Yoni Marine, Nurul Bahiyah
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引用次数: 0

摘要

对比度低会导致图像质量不高,难以进行正确的图像分析。提高图像质量的一种技术是增加照明对比度。常用的一种方法是直方图归一化,它可以通过平衡像素值范围内的像素分布来提高图像对比度。本研究的目的是将直方图归一化方法应用于图像,并比较归一化处理前后的结果。本研究中使用的图像是自制图像和公共数据库中的图像。研究结果表明,归一化直方图可以提高图像对比度,改善因光照不足而导致的低图像质量。因此,在医疗图像处理、卫星图像处理和安全监控等各种应用中,直方图归一化可作为一种提高图像质量的技术。
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Penerapan Normalisasi Histogram untuk Peningkatan Kontras Pencahayaan pada Pengamatan Visual CCTV
Low Contrast can cause low image quality and make it difficult for proper image analysis. One technique to improve image quality is to increase the lighting contrast. One method that is often used is histogram normalization, which can increase image contrast by balancing the distribution of pixels across a range of pixel values. The purpose of this research is to apply the histogram normalization method to images and compare the results before and after the normalization process. The images used in this study are self-made images and images from public databases. The results of the study show that normalized histograms can increase image contrast and improve low image quality due to inadequate lighting. Thus, histogram normalization can be used as a technique to improve image quality in various applications, including medical image processing, satellite image processing, and security surveillance.
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