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[Special Effects] PSNR

Description: ％本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理的效果％％％％％％％％％ ％ 运行的结果保存在变量PSNR中- This program features the calculation of two color images of the PSNR, in order to evaluate the effect of image processing the results of running stored in variables in PSNR
Platform: | Size: 1024 | Author: | Hits:

[Graph Drawing] PSNR

Description: 本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理的效果-This program features the calculation of two color images of the PSNR, in order to assess the effect of image processing
Platform: | Size: 2048 | Author: 陈增境 | Hits:

[Special Effects] PSNRforColorGif

Description: 计算GIF彩色图像的差异，两幅图像大小一致且调色板一致。其中Psnr 为两幅图像的psnr值.P 为两幅图像之间像素索引不同的索引值占图像大小的比例。-GIF image color difference calculation, the two images the same size and same color palette. One Psnr the two images psnr value. P index for the pixels between two images, the index values of different ratio of total image size.
Platform: | Size: 1024 | Author: liuq | Hits:

[matlab] PSNR

Description: a smart code to calculate PSNR of two color images.
Platform: | Size: 441344 | Author: | Hits:

[Special Effects] 3PSNR

Description: 本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理的效果运行的结果保存在变量PSNR中-This program features the calculation of two color images of the PSNR, in order to evaluate the effect of image processing the results of running stored in variables in PSNR
Platform: | Size: 1024 | Author: hanhanyanfeng | Hits:

[Special Effects] psnr1

Description: 本程序功能是计算2幅彩色图像的PSNR,以此来评价图像处理运行的结果保存在变量PSNR中-This program features the calculation of two color images of the PSNR, in order to evaluate the effect of image processing the results of running stored in variables in PSNR
Platform: | Size: 1024 | Author: hanhanyanfeng | Hits:

[Special Effects] CplusplusBitmapLibrarySourceCodeandExamples

Description: Description The C++ Bitmap Library consists of simple, robust, optimized and portable 24-bit bitmap image processing algorithms for the C++ language. Capabilities The library has the following capabilities: Read/Write 24-bit Bitmap Images Pixel, row or level level batch editing Color conversions (RGB,YCbCr) in byte and floating values Highly optimized subsample and upsample (resizing) Various color maps (1000 levels - autumn, copper, gray, hot, hsv, jet, prism, vga, yarg) Texture generation (checkered pattern, plasma) Graphics drawing interface (line, line-segmentm rectangle, triangle, quadix, horizontal and vertical line-segments, ellipse, circle, plot pixel, pen width, pen color) PSNR and Image comparisons -Description The C++ Bitmap Library consists of simple, robust, optimized and portable 24-bit bitmap image processing algorithms for the C++ language. Capabilities The library has the following capabilities: Read/Write 24-bit Bitmap Images Pixel, row or level level batch editing Color conversions (RGB,YCbCr) in byte and floating values Highly optimized subsample and upsample (resizing) Various color maps (1000 levels- autumn, copper, gray, hot, hsv, jet, prism, vga, yarg) Texture generation (checkered pattern, plasma) Graphics drawing interface (line, line-segmentm rectangle, triangle, quadix, horizontal and vertical line-segments, ellipse, circle, plot pixel, pen width, pen color) PSNR and Image comparisons
Platform: | Size: 34816 | Author: javaprogramming | Hits:

[Special Effects] IMGSNR

Description: 计算两幅彩色图像的信噪比，客观信噪比，输出MSE和PSNR-SNR calculated two color images
Platform: | Size: 1024 | Author: li yamei | Hits:

[matlab] Image-Fusion-using-Cross-Bilateral-Filtering-base

Description: The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.
Platform: | Size: 21504 | Author: Naga Kishore | Hits:

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