摘要
针对传统多尺度Retinex增强算法处理后的红外图像对比度较低、视觉效果不够理想的缺点,提出了一种改进的多尺度Retinex红外图像增强算法。将传统Retinex增强算法中的指数还原用灰度线性拉伸代替,对拉伸后的图像进行自适应对比度增强处理,从而提高了图像的对比度,改善了图像的视觉效果,同时,根据图像处理的需要,可以调整图像对比度的大小。通过与几种典型的图像增强算法实验结果进行比较,该算法图像增强的效果更好,图像视觉效果更佳。
According to the problem of the traditional multi-scale Retinex infrared image enhancement algorithm for infrared image processing,like the contrast is not strong and the overall gray value image is lower.Puts forward an improved multi-scale Retinex infrared image enhancement algorithm.On the basis of the multi-scale Retinex image enhancement,for the linear image stretching and adaptive contrast enhancement processing.At the same time,according to the needs of processing,can be adjusted with the size of the image contrast.Experimental results show that the method of image enhancement and visual are better with other enhancement algorithm comparison.
出处
《计算机技术与发展》
2011年第4期105-107,111,共4页
Computer Technology and Development
基金
国家自然科学基金(10828102)
