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[2D Graphic] MedianBasedDetection DL : 0: 基于中值滤波器的红外弱小目标检测，以9*9为滤波窗口大小-Median filter-based infrared small target detection, to 9* 9 for the filtering window size
Date : 2025-12-22 Size : 1kb User : 张心浩
[2D Graphic] laplacia DL : 0: 利用拉普拉斯金字塔实现图像融合，红外与可见光融合、多聚焦图像融合-Using Laplacian pyramid for image fusion, infrared and visible light fusion, multi-focus image fusion
Date : 2025-12-22 Size : 63kb User : xiaocai
[2D Graphic] fusion-project_gaijin1 DL : 0: 红外图像与可见光图片融合,效果很好，欢迎采纳啊-Infrared image and visible image fusion, with good results, welcomed the adoption ah
Date : 2025-12-22 Size : 599kb User : 诸葛睿博
[2D Graphic] A-DDE-Algorithm DL : 0: 一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 -put forward a DDE algorithm based on hierarchical processing and dynamic compression of infrared image． At first，this algorithm dissociates the background ( with wide dynamic and low frequency) and the detail ( with narrow dynamic and high frequency) in the data information ( 14 bits) of original infrared image，and pick up them respectively． Then，it enhances the gray of details layer and restrains the gray of background layer，and readjusts and compresses dynamic range of each layer． Finally，it composites output image ( 8 bits) ． The experimental results show that the proposed algorithm can retain detail information and edges in original infrared image and carry the purpose of design．
Date : 2025-12-22 Size : 862kb User : DaBao
[2D Graphic] 2008PCPSCP-PSURFPPresentationP2 DL : 0: 变电站的红外图像与可见光图像的配准研究，在matlab的图像配准代码-Registration in the infrared and visible image of the substation, the matlab code for image registration
Date : 2025-12-22 Size : 1.15mb User : 晓
[2D Graphic] Infrared-Image-Enhancement DL : 0: 针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。-As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou
Date : 2025-12-22 Size : 468kb User : kiel
[2D Graphic] Infrared-CSO-Super-Resolution DL : 2: 红外空间邻近目标成像过程仿真，然后对仿真图像进行超分辨，之后定位目标并跟踪目标。-Infrared space near the target imaging process simulation, and then super-resolution of the simulation image, then locate the target and track the target
Date : 2025-12-22 Size : 7.36mb User : 刘洋