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- A parallel multiplex order morphological transformation-based algorithm was used for infrared image enhancement, edge sharpening and filtering. 采用并行复合顺序形态滤波算法对图像边缘进行增强和锐化并抑制高频噪声；
- Application of MSR in Infrared Image Enhancement MSR在红外图像增强中的应用
- The Infrared Image Enhancement Study of The Thermal Wake of Ship 舰船热轨迹红外图像增强研究
- Real-time infrared image enhancing algorithm easy to implement 一种易于硬件实现的红外图像实时增强算法
- Resistible noise approach of infrared image contrast enhancement[J]. 引用该论文 张长江;付梦印;金梅;张启鸿.
- infrared image enhancement 红外图像增强
- Abstract: A new scheme of contrast enhancement of infrared image via wavelet transform is proposed. 文摘:将小波变换理论应用于红外图像处理，提出一种基于小波变换的红外图像对比度增强方法。
- Dim target detection and location from infrared image is studied. 研究红外目标图像中弱小目标的自动检测和定位方法 .
- The last, we use ICA to extract the edge of infrared image. 最后，运用独立分量算法对增强后的红外图像进行边缘提取。
- Experiment result proves that the method is a useful image enhancement method. 实验结果表明,该方法是一种有效的图像增强方法。
- So the dim targets detection in infrared image has big practical value. 因此,红外图像弱小目标的检测具有较大的实践意义。
- The paper then certifies this algorithm by infrared image processing. 并且文中使用红外图像对这个算法进行了验证。
- In this paper, we proposed a method of wavelet image enhancement based on modulus square processing to achieve a better visual effect. 为了更好地保证图像的整体增强效果，该文提出一种基于模平方处理的小波图像增强方法。
- A method of image enhancement denoising is descibed based on wavelet transform and threshold shrinkage. 摘要提出了一种基于小波变换与阀值收缩法的图像增强去噪方法。
- Focused on the wavelet analysis in image enhancement, noise reduction, compression and fusion. 重点论述了小波分析在图像增强、降噪、压缩和融合中的应用。
- Detection of dim small targets in infrared images was addressed. 探讨了红外图像中的弱小目标检测问题。
- Histogram modifications and the forward and backward (FAB) diffusion processes are combined for the image enhancement. 在此基础上，通过对图像的梯度信息和直方图信息的合理组合，提出了基于全局信息的图像增强组合方法。
- It indicates from the theoretical and experimental results that image enhancement by PDEs is an effective tool. 理论和实验结果表明,应用偏微分方程模型进行图像处理是一种有效的工具。
- In order to improve further the effect of image enhancement and to reduce the computational complexity,this pape... 实验结果表明,该方法在图像增强效果和时间复杂性方面均优于传统方法和张东波等提出的方法。
- The traditional algorithms for image enhancement have the shortcoming of noise over-enhancement. 摘要传统的图像增强算法存在噪声过增强的问题。
