Description: 这个是一个获取两个图像相似度的函数，对于图像处理和数字水印方面的编程者来说，会经常去计算两个图像的psnr值，从而来确定图像的相似度，使用matlab可以很方便的计算两个图像的psnr，但是由于matlab专业性很强，而且有没有版权保护，所以对于大批的使用VC语言的这方面的编程者，由于要经常使用而显得很麻烦。
通过调用get_psnr函数可以很方便的就得到两个图像的相似度。
-This is a similarity to obtain a function of two images for image processing and programming aspects of digital watermarking are concerned, will keep the two images to calculate the PSNR value, thereby to determine the similarity of images, the use of matlab can be easily the calculation of the two images psnr, but because matlab highly professional, and has no copyright protection, and therefore the use of a large number of VC language programming in this area, and due to frequent use, there appears to be very troublesome. Get_psnr by calling the function can be easily obtained from the two images on the similarity. Platform: |
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Author:莫雨 |
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Description: 工程名为DctQuant，编程实现了一帧CIF格式4:2:0的YUV图像的H.264的整数变换、量化以及逆量化、逆变换。具体的功能表述如下：
1、首先按“打开YUV”按钮，选择一帧格式为CIF的4:2:0的YUV图像（默认的YUV图像的格式为4:2:0的CIF格式）。选择完成后，可以看到显示的输入图像。
2、输入QP值，QP是0到51之间的整数值，超出范围，会弹出对话框提示。QP默认为28。注意：当改变QP值为0时，即没有量化，则点击转换按钮显示出的PSNR值即为输入图像的PSNR值。
3、点击转换按钮，可以看到经过变换量化和逆量化逆变换过程以后输出的图像以及显示输出图像的PSNR值（保留小数点后6位）和默认4x4块号为0的原始各像素值、整数变换后的值、量化后、逆量化后、逆变换后的值。
4、可以手动改变块号，块号的范围为0-6335，超出范围会弹出对话框提示。然后单击“输入块号”按钮即可显示此块号对应的原始各像素值、整数变换后的值、量化后、逆量化后、逆变换后的值。
-Works entitled DctQuant, programming of a CIF format, 4:2:0 YUV images H.264 integer transform, quantization, and inverse quantization, inverse transform. Expression of specific functions are as follows:
1, first press the "Open YUV" button, select a format for the CIF of the 4:2:0 YUV image (the default YUV image format 4:2:0 CIF format). Selection is complete, you can see displayed in the input image.
2, enter the QP value, QP is an integer between 0-51 values out of range, will pop-up dialog box prompt. QP default is 28. Note: When changing the QP value is 0, that is not quantified, then click the convert button to show the PSNR values of the PSNR values shall be the input image.
3, click the Convert button, you can see through the transformation inverse quantization and inverse quantization output of the image after the transformation process and display the output image PSNR values (retention decimal 6), and the default 4x4 block No. 0 of the original values of each pixel , int Platform: |
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Author:王婉君 |
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Description: this coding also describes about the image processing techniques of dwt. it also describes the psnr value Platform: |
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Author:chinnamuthu |
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Description: 程序使用说明：
1、软件应用平台：Matlab6.5或更高；
2、打开方法：
将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。
然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。
wavlet.m是程序文件。
程序内容写在在程序的注释里。
阈值的更改没有实现可视化，在源程序中可以改。-Procedure for use: 1, Software Platform: Matlab6.5 or higher 2, open the way: the file directory set the working directory, then open the wavlet.fig, the noise boxes, enter the noise level, in the 0-0.1 between (not zero). Then process the button, it will show the experimental results, including the original image, noise image denoising image contrast and the current psnr value. wavlet.m is the program file. Program content in the program notes written inside. Threshold changes are not visualized in the source program can be changed. Platform: |
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Author:xuxiao |
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Description: 通过观察图像lena_noise.bmp可以看到，该图像主要包含高斯噪声、椒盐噪声等。
通过查阅资料可知，维纳滤波可以很好的滤除高斯噪声，而中值滤波对于椒盐噪声的滤出效果优异，因此本次采用维纳+中值的滤波方式进行图像的去噪处理。
图像常用评价方法有：信噪比、相关系数、清晰度。信噪比较为常用；相关系数 由于滤波会使原图像失去某些细节，因此这种评价方式为参考性指标而非绝对评判标准；清晰度 为图像子块的方差
综合考虑采用图像的峰值信噪比(PSNR)作为评价去噪效果指标(自编PSNR.m函数).-By observing the image lena_noise.bmp can see that the image consists mainly of Gaussian noise, salt and pepper noise. Through access to information shows that the Wiener filter can be well filtered Gaussian noise, and median filter for impulse noise filter out excellent results, so this value using Wiener filtering method+ in image denoising. Image evaluation methods commonly used are: noise ratio, correlation coefficient, clarity. SNR is more commonly used correlation coefficient as filtering the original image will lose some of the details, so this evaluation method as the reference index rather than absolute criteria clarity of image sub-block variance considering the peak signal using image noise ratio (PSNR) as an evaluation index denoising (self PSNR.m function). Platform: |
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Author:献诗 |
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Description: 1 客观评价
图像质量的客观评价是指用畸变图像偏离原始图像的误差来衡量畸变图像的质量，目前人们最常用的指标是PSNR（李英明，2011，中国图象图形学报）设 和 分别表示原始图像和待评价图像，且有
PSNR值越大，表示畸变图像 和原始图像 越接近，视觉感知越好
-An objective evaluation
Objective evaluation of image quality refers to the original image distorted image deviation error to measure the distortion of the image quality, currently one of the most commonly used indicator is the PSNR (Li YM, 2011, China Image and Graphics) Let and denote the original image and pending evaluation image, and there is
PSNR greater value represents the distorted image and the original image closer, better visual perception
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Size: 16384 |
Author:zh |
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Search - PSNR value of an image