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/253825/12184125
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
www.eeworm.com/read/250063/12437188
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(
www.eeworm.com/read/127120/14376033
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(
www.eeworm.com/read/223568/14624636
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(
www.eeworm.com/read/212508/15155155
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(
www.eeworm.com/read/206450/15295275
pdf psnr.pdf
www.eeworm.com/read/285338/4053995
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)
www.eeworm.com/read/274175/4187307
m psnr.m
function p = psnr(x,y, vmax)
% psnr - compute the Peack Signal to Noise Ratio, defined by :
% PSNR(x,y) = 10*log10( max(max(x),max(y))^2 / |x-y|^2 ).
%
% p = psnr(x,y);
%
% Copyright
www.eeworm.com/read/474583/6813043
m psnr.m
function p = psnr(x,y, vmax)
% psnr - compute the Peack Signal to Noise Ratio
%
% p = psnr(x,y,vmax);
%
% defined by :
% p = 10*log10( vmax^2 / |x-y|^2 )
% |x-y|^2 = mean( (x(:)-y
www.eeworm.com/read/474583/6813072
sci psnr.sci
function p = psnr(x,y, vmax)
// psnr - compute the Peack Signal to Noise Ratio
//
// p = psnr(x,y,vmax);
//
// defined by :
// p = 10*log10( vmax^2 / |x-y|^2 )
// |x-y|^2 = mean( (x(:)-y(