搜索资源列表
JPEGCapture
- 图片捕捉程序，匹配aptina 图像传感器芯片-Image capture process, matching aptina image sensor chip
MATLABdianpeizhu
- 大量实验表明,提出的方法对同种传感器或者不同传感器图像之间的配准都是有效的。 提出了一种新的基于角点检测的图像配准方法,其核心思想是采用一种快速的 基于图像灰度的角点检测新算法,通过沿圆弧曲线扫描获取角点信息,然后根据这些 角点信息建立图像间角点的对应关系,并由此得到初配准参数,最后通过迭代过程以 提高配准的精度. 理论分析和实验结果表明,该算法对图像间的旋转角度没有限制, 配准精度高而且计算量较小. -Experiments show that the proposed
Wavelet_OMP
- 压缩感知！本程序实现图像LENA的压缩传感。-Compressed sensing! The compression process of image LENA sensor.
CMOSchuanganqiziliao
- CMOS传感器的详细资料，包括cmos图像处理的过程，寄存器的工作及接口-CMOS sensor detailed information, including cmos image processing process, register and interface work, etc.
Demosaicing_algorithms
- 一个去马赛克算法是用来重建一个完整的数字图像处理 从完整的颜色样本图像传感器的输出的彩色图像 覆盖彩色滤镜阵列（CFA）。也被称为CFA插值或 彩色重建-A demosaicing algorithm is a digital image process used to reconstruct a full color image from the incomplete color samples output from an image sensor overlaid wi
libgptk-0.2.tar
- 高斯过程工具箱。由C++编制而成。适用于大规模非均质数据的回归及插值运算。-Gaussian Process Toolkit (GPTK) is a C++ library providing regression/interpolation methods based on Gaussian Processes. In particular the toolkit implements a projected sequential Gaussian process method (p
zhuansutiaozhi
- Honda发动机使用的霍尔式曲轴位置传感器模拟信号转成方波信号的电路。附带修改过程，第四个为最终版。-Circuit used Honda engine crankshaft position sensor Hall analog signal into a square wave signal. With the revision process, and the fourth for the final version.
dcraw-9.20
- dcraw is an open-source computer program which is able to read numerous raw image formats, typically produced by high-end digital cameras. dcraw converts these images into the standard PPM and TIFF image formats. This conversion is sometimes referred
guangxingchuanggan123578997
- 惯性传感信号的滤波处理，针对惯性传感信号的特点，进行信号处理和滤波-Inertial sensing signal filtering process, the characteristics of the inertial sensor signal, signal processing and filtering
auto-adapt-image-denoise
- 主要是自动去除摄像机本身传感器产生的高斯噪声和图像传输过程中引入的椒盐噪声-Mainly automatic removal of Gaussian noise and the image transfer process generated by the sensor in the camera itself introduced pepper noise
adaptivelensshading
- the .m file provides a lens shading compensation with a negtive factor, which could improve the background unbanlence of the sensor pixels in the imaging process!