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iamge-fusion-evaluate
- 进行图像融合效果评价的3个常用指标，分别为互信息，Petrovic and Xydeas Metric和quality index。-Image fusion effect evaluation of three commonly used indicators, respectively, for the mutual information Petrovic and Xydeas metrics and quality index.
michelsonContrast
- michelson contrast function for quality assesment of image
code
- it sreally good code for image and video processing for video quality assessment u can really enjot it
vif
- 文章Image information and visual quality的程序———应用视觉保真度（ＶＩＦ）的方法-Article Image Information and Visual quality program--- visual fidelity (VIF)
filter-design
- 图片处理操作，主要是利用各种模板对图像进行平滑去躁，去除高频干扰对图像的质量的影响。-The operation of the image processing, image smoothing using a variety of templates to impatient to remove high-frequency interference on the quality of the image.
Matching
- 高质量的MATLAB源代码 用于实现虹膜图像的特征匹配（汉明距离）-Quality MATLAB source code for iris image feature matching (Hamming distance)
Segmentation
- 高质量的MATLAB源代码 用于虹膜图像分割（Hough变换）-Quality MATLAB source code for the iris image segmentation (Hough transform)
JpegLibPalm030912
- Introduction jpeglib is a shared library for Palm OS handheld computers. It permits other applications to support easily JPEG encoding and decoding. JPEG is a standard compression method for photographic images. It s lossy, which means that the
ssim
- 这个程序可以计算一幅图像的结构相似度指数SSIM，一定程度上评估图像质量。-This program can calculate an image structural similarity index SSIM, to some extent, to assess the quality of the image.
registration
- 不同传感器或同一传感器在不同时间、不同地点获得的图像在空间上往往会存在差异。图像配准是图像融合的重要前提条件，配准精度的高低直接决定融合的重要前提条件，配准精度的高低直接决定融合结果的质量，图像配准是图像融合的关键技术之一。对不同的图像以及应用领域，适用的配准方法有可能有很大的差别，根据图像特点和应用角度找出适合的配准方法，是解决图像融合问题的关键。-Different sensors or the same sensor at different times, in different lo
f-s
- 此程序为Floy_stein误差扩散的MATLAB实现的源代码，进过此程序加网后的图像相比于其他的一些加网方式加网质量较高。-This program is Floy_stein error diffusion in MATLAB source code, into this procedure the image after screening compared to some other screening methods of screening high quality.
QualityGuidedUnwrap2D_r1
- 基于matlab实现干涉显微镜图像重构中的二维解包裹函数。- QualityGuidedUnwrap2D implements 2D quality guided path following phase unwrapping algorithm. Inputs: 1. Complex image in .mat double format 2. Binary mask (optional) Outputs: 1. U
jpeg
- 本程序采用JPEG算法对静止图像进行编解码，采用Matlab仿真平台。程序的品质因数可以自行调整，并附有性能参数分析（采用PSNR作为评判依据）。这是我研一的课程作业程序，自己写的，希望有需要的同学下载！-This procedure uses the JPEG algorithm for still image coding and decoding, using Matlab simulation platform. Program can adjust the quality factor
shuipingji
- 图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出感兴趣目标的技术和过程-Image segmentation is to divide the image into several specific area, unique quality and interested target technology and process are put forward
CalBMPpsnr
- 本文采用 Sobel 算子检测待插像素点周围的原图像像素点，判断其是否边缘点并检测出边缘方向，再依据沿边缘走向的像素点灰度变化平缓，边缘两侧像素点灰度值突变的进 行待插像素点的自适应插值。该算法具有较低的算法复杂度良好的客观质量，视觉效果以及最佳的图像缩放综合性能。本文工作是正在开发的数字电视图像后处理SoC芯片中 的一部分，下一步工作为：完成本文算法的硬件实现，将其作为 SoC 芯片中的图像缩放模块，与降噪模块、去隔行模块等其他 IP 模块一起形成完整的数字电视图像后处理 SoC芯片。
VisualPCPPvidoe-capture
- 视频采集是开发视频监控系统的首要步骤，它关系到采集视频数据的质量，因此，视频采集会影响到其后的各种操作（包括视频预览、视频录像、视频回放、图像识别等）-Video capture is the development of video surveillance system the first step, it is related to the quality of data capture video, so the video capture will affect the subsequ
The-Lagrange-interpolation-algorithm
- 基于VS2008编写，程序很简单，算法很经典实用。提出一种基于三次拉格朗日插值的自适应图像缩放算法 该算法首先计算目标像素点周围三组源像素点的方差，选取方差最小的一组源像素点，然后采用三次拉格日插值公式求得目标像素点的灰度值实验结果表明，本文算法所得的目标图像边缘清晰，且算法复杂度较低，便于硬件实现，可以实现实时图像缩放。-Based on VS2008, the program has a very simple algorithm is very classic and practical.
mmse_mrf_demo-1.1
- 图像去噪-A Generative Perspective on MRFs in Low-Level Vision-A Generative Perspective on MRFs in Low-Level Vision Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative
segmentforimage
- 图像分割源码，是一种基于图论的方法做的。分割的质量超好，不信的话下载下来看，你就清楚了！-Image segmentation source code, is a method based on graph theory to do. Segmentation quality is super good, do not believe it download the next run, you will be clear!
addmulc
- Addition and multiplication of signals may favour Quality improvement, such as noise reduction, image enhancement, and echo cancellation