代码搜索:PSNR

找到约 336 项符合「PSNR」的源代码

代码结果 336
www.eeworm.com/read/163194/10171605

m psnr.m

%PSNR.m function S=PSNR(I,J) % PSNR(I,J) returns the peak signal to noise ratio) between I and J %(dB) % I is the original image and J is a modified version of I. % The PSNR value is useful to ca
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m psnr.m

%Name: Chris Shoemaker %Course: EER-280 - Digital Watermarking %Project: Calculates the PSNR (Peak Signal to Noise Ratio) % of images A and A', both of size MxN function [A] = psnr(
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m psnr.m

function mySNR = psnr(img_A, img_B) %psnr.m [hight,width,dimension] = size(img_A); sub_img = imsubtract( img_A, img_B); sub_img = double(sub_img); sub_img = sub_img .* sub_img;%do square %squa
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m psnr.m

function PSNR(A,B) % PURPOSE: To find the PSNR (peak signal-to-noise ratio) between two % intensity images A and B, each having values in the interval % [0,1]. The answer is in deci
www.eeworm.com/read/352303/10565572

m psnr.m

function [psnr] = PSNR (A,B) % %function [psnr] = psnr (A,B) % % mse = mserror(A,B) % MMSE if (mse == 0) psnr=Inf; else psnr = 10*log10(255^2/mse);
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java psnr.java

//
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m psnr.m

clear all; [y1,fs,bits]=wavread('f:\voise\3.wav'); %y1=y1/max(abs(y1));%归一化 wavwrite(y1,8000,8,'f:\wav\3.wav'); figure(1); plot(y1); [noise,fs1,bits1]=wavread('f:\voise\3_noise.wav'); y=mixsi
www.eeworm.com/read/468647/6986178

m psnr.m

function [y] = psnr(x,y) [nx,ny]=size(x); y = -10.0*log10(norm(x-y,'fro')^2/(nx*ny));
www.eeworm.com/read/456923/7336963

m psnr.m

function S=PSNR(I,J) % PSNR(I,J) returns the peak signal to noise ratio) between I and J %(dB) % I is the original image and J is a modified version of I. % The PSNR value is useful to calculat
www.eeworm.com/read/453243/7423398

m psnr.m

function [snr,mse] = psnr (A,B) diff = A - B; diff_sq = diff .^ 2; % difference squared mse_clmn = mean(diff_sq); % means square diff. of the columns; mse = mean(mse_clmn); if (mse == 0)