An underground video image enhancement algorithm
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摘要: 煤矿井下视频图像存在亮度不均、细节纹理模糊不清、噪声较多等问题，而常用的图像增强算法在处理煤矿井下视频图像时会出现图像失真、图像层次不清、处理效率低等缺点。针对上述问题，提出了一种基于对比度受限函数和反馈函数的煤矿井下视频图像增强算法。该算法首先结合加权平均法和中值滤波对图像进行灰度化和去噪预处理；然后通过对比度受限函数对图像对比度进行限幅增强；最后通过反馈函数调节图像的灰度级，对图像层次进行增强。实验结果表明，该算法可有效改善煤矿井下视频图像失真情况，图像层次分明，且具有较快的处理速度。Abstract: For problems of uneven brightness, blurry detail texture and much noise existed in underground video images, and image distortion, unclear image level and low processing efficiency of common image enhancement algorithm used to process underground video image, an underground video image enhancement algorithm based on contrast limited function and feedback function was proposed. Firstly, image is preprocessed with grayscale and denoising by weighted average method and median filtering. Then contrast is enhanced by use of contrast limited function. Finally, gray level is adjusted by feedback function so as to enhance image level. The experimental results show that the algorithm can effectively improve underground video image distortion with clear level and fast processing speed.
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Keywords:
- mine video image /
- image enhancement /
- contrast limitation /
- gray level adjustment
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期刊类型引用(3)
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其他类型引用(3)
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