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資源簡介

均方誤差(mean-square error, MSE)是反映估計量與被估計量之間差異程度的一種度量。設t是根據(jù)子樣確定的總體參數(shù)θ的一個估計量,(θ-t)2的數(shù)學期望,稱為估計量t的均方誤差。它等于σ2+b2,其中σ2與b分別是t的方差與偏倚。 psnr是“Peak Signal to Noise Ratio”的縮寫,即峰值信噪比,是一種評價圖像的客觀標準,它具有局限性,一般是用于最大值信號和背景噪音之間的一個工程項目。

資源截圖

代碼片段和文件信息

function?[quality?quality_map]?=?img_qi(img1?img2?block_size)

%========================================================================
%
%Copyright?(c)?2001?The?University?of?Texas?at?Austin
%All?Rights?Reserved.
%?
%This?program?is?free?software;?you?can?redistribute?it?and/or?modify
%it?under?the?terms?of?the?GNU?General?Public?License?as?published?by
%the?Free?Software?Foundation;?either?version?2?of?the?License?or
%(at?your?option)?any?later?version.
%?
%This?program?is?distributed?in?the?hope?that?it?will?be?useful
%but?WITHOUT?ANY?WARRANTY;?without?even?the?implied?warranty?of
%MERCHANTABILITY?or?FITNESS?FOR?A?PARTICULAR?PURPOSE.??See?the
%GNU?General?Public?License?for?more?details.
%?
%The?GNU?Public?License?is?available?in?the?file?LICENSE?or?you
%can?write?to?the?Free?Software?Foundation?Inc.?59?Temple?Place?-
%Suite?330?Boston?MA?02111-1307?USA?or?you?can?find?it?on?the
%World?Wide?Web?at?http://www.fsf.org.
%
%Author??:?Zhou?Wang?
%Version?:?1.0
%?
%The?authors?are?with?the?Laboratory?for?Image?and?Video?Engineering
%(LIVE)?Department?of?Electrical?and?Computer?Engineering?The
%University?of?Texas?at?Austin?Austin?TX.
%
%Kindly?report?any?suggestions?or?corrections?to?zwang@ece.utexas.edu
%
%Acknowledgement:
%The?author?would?like?to?thank?Mr.?Umesh?Rajashekar?the?Matlab?master
%in?our?lab?for?spending?his?precious?time?and?giving?his?kind?help
%on?writing?this?program.?Without?his?help?this?program?would?not
%achieve?its?current?efficiency.
%
%========================================================================
%
%This?is?an?efficient?implementation?of?the?algorithm?for?calculating
%the?universal?image?quality?index?proposed?by?Zhou?Wang?and?Alan?C.?
%Bovik.?Please?refer?to?the?paper?“A?Universal?Image?Quality?Index“
%by?Zhou?Wang?and?Alan?C.?Bovik?published?in?IEEE?Signal?Processing
%Letters?2001.?In?order?to?run?this?function?you?must?have?Matlab‘s
%Image?Processing?Toobox.
%
%Input?:?an?original?image?and?a?test?image?of?the?same?size
%Output:?(1)?an?overall?quality?index?of?the?test?image?with?a?value
%????????????range?of?[-1?1].
%????????(2)?a?quality?map?of?the?test?image.?The?map?has?a?smaller
%????????????size?than?the?input?images.?The?actual?size?is
%????????????img_size?-?BLOCK_SIZE?+?1.
%
%Usage:
%
%1.?Load?the?original?and?the?test?images?into?two?matrices
%???(say?img1?and?img2)
%
%2.?Run?this?function?in?one?of?the?two?ways:
%
%???%?Choice?1?(suggested):
%???[qi?qi_map]?=?img_qi(img1?img2);
%
%???%?Choice?2:
%???[qi?qi_map]?=?img_qi(img1?img2?BLOCK_SIZE);
%
%???The?default?BLOCK_SIZE?is?8?(Choice?1).?Otherwise?you?can?specify
%???it?by?yourself?(Choice?2).
%
%3.?See?the?results:
%
%???qi????????????????????%Gives?the?over?quality?index.
%???imshow((qi_map+1)/2)??%Shows?the?quality?map?as?an?image.
%
%========================================================================

if?(nargin?==?1?|?nargin?>?3)
???qua

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????1438444??2013-10-09?15:29??02_3_FR_MSE_PSNR\A?Universal?Image?Quality?Index.pdf

?????文件???????4184??2013-10-10?17:41??02_3_FR_MSE_PSNR\img_qi.m

?????文件????????506??2013-10-09?15:55??02_3_FR_MSE_PSNR\psnr_mse.m

?????文件???????3801??2013-10-10?17:46??02_3_FR_MSE_PSNR\PSNR_MSE_demo.m

?????文件????????194??2013-10-11?12:36??02_3_FR_MSE_PSNR\readme.txt

?????文件???????4419??2013-10-10?17:18??02_3_FR_MSE_PSNR\UniIQA_demo.asv

?????文件???????3911??2013-10-10?17:45??02_3_FR_MSE_PSNR\UniIQA_demo.m

?????文件??????20878??2013-10-15?10:43??02_3_FR_MSE_PSNR\總結.docx

?????目錄??????????0??2017-12-11?10:41??02_3_FR_MSE_PSNR

-----------?---------??----------?-----??----

??????????????1476337????????????????????9


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