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Statistical evaluation of image quality measures
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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
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hufman
coding. Input QUALITY determines the amount of information that
is lost and compression achieved. Y is an encoding structure
containing fields:
Y.size Size of X
Y.numblocks Number of 8-by-8 encoded blocks
Y.qualit
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图像在传输过程中多少会收到干扰,消除图像噪声,提高图像的画面质量-Eliminate image noise and improve the image quality of the picture
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Matlab source code for image quality metric.
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图像质量评价方法-Wpsnr
采用HVS的图像相似度准则计算WPSNR
下面的MATLAB程序计算两幅图像的加权峰值信噪比。相比常用的PSNR而言,考虑到HVS(human visual sytem)的影响。-Image quality uation method of image-Wpsnr similarity criteria using HVS computing program MATLAB WPSNR below the weighted peak signal
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利用MATLAB完成照片去红眼、图片质量评估、找茬游戏以及图片均衡化-Using MATLAB complete photo red eye, image quality assessment, finding fault games, and image equalization
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能够实现图像的读、写和保存,并能够以5 、10 、20 的质量压缩原图像。-You can achieve read, write and save the image,and the original image can be compressed at 5 , 10 , and 20 quality.
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计算图像平均梯度,可以用于图像质量评估。(The average gradient of the computed image can be used for image quality evaluation.)
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谷物作为主要粮食和饲料作物,在农业生产中占有重要地位。提高谷物产量和质量的主要方法是选育出优质品种,而在选育品种过程中,对种子的计数是不可缺少的内容。目前,种子的计数方法通常采用人工计数,或半自动的光电计数器,很显然传统的计数方法存在着效率低、准确性不高等缺点。笔者利用计算机图像识别和处理技术实现考种过程中的计数,为谷物粒群的识别、精选、分级等的进一步研究奠定必要的理论与实践基础,并为育种工作提供一种高效、快捷的谷物计数新技术
用Matlab实现这种方法,既能分步对谷物颗粒图像预处理算
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PSNRHMA matlab code 基于HVS的PSNRHMA和PSNRHA代码(matlab code of PSNRHMA and PSNRHA for image quality assessment)
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这是一个虹膜识别的程序,含有人机交互是界面。是个不错的设计。(This is a program of iris recognition, which includes human computer interaction and interface. It's a good design.)
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当没有被称为失真的信息时(模糊和噪音),盲反卷积算法可有效使用,改善图像质量(When no information is known as distortion (blurring and noise), blind deconvolution can be used effectively to improve image quality.)
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压缩包里包含基于全参考、无参考的立体图像质量评价代码,以及视差图获取方法,关于双目活动的质量评价算法。(The compression package contains stereo image quality evaluation code based on full reference and no reference, disparity map acquisition method, and quality evaluation algorithm for binocular activ
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1.通过本实验掌握数字全息实验原理和方法;
2.通过MATLAB编程,对实验数字全息图进行数据处理,达到提高再现像质量和方便提取有用信息的目的;
3.用空域滤波方法消除零级像;
4.理解波前记录与再现。(1. Master the principle and method of digital holography experiment through this experiment;
2. Through MATLAB programming, the experimental digital
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