SSIP2013-master
所属分类：图形图像处理
开发工具：matlab
文件大小：50956KB
下载次数：38
上传日期：2016-11-15 21:12:32
上 传 者：
Gummy
说明： 一种图像对比度增强算法，包含demo，和图像性能测试
(An image contrast enhancement algorithms, including demo)
文件列表:
Publications (0, 2013-07-13)
Publications\0200633.pdf (226130, 2013-07-13)
pdf (749736, 2013-07-13)
Publications\10.1007-s40031-012-0020-1.pdf (616991, 2013-07-13)
Publications\93ieeeip_recons.pdf (453938, 2013-07-13)
Publications\Cr1011-wien.pdf (959727, 2013-07-13)
Publications\Lindblad_Denoising_SSIP_2013.pdf (3298894, 2013-07-13)
Publications\measures (0, 2013-07-13)
Publications\measures\eme.png (9337, 2013-07-13)
Publications\measures\measures.txt (172, 2013-07-13)
Publications\measures\uiqi.png (3345, 2013-07-13)
Publications\quality_2c.pdf (1438444, 2013-07-13)
Publications\vol2no12_1.pdf (818604, 2013-07-13)
SSIP (0, 2013-07-13)
SSIP\EME.m (641, 2013-07-13)
SSIP\HMLCE.m (1094, 2013-07-13)
SSIP\Mammo5_contrast.pgm (1070974, 2013-07-13)
SSIP\Point_operators.m (5060, 2013-07-13)
SSIP\abra1.asv (1285, 2013-07-13)
SSIP\abra1.m (1286, 2013-07-13)
SSIP\abra2.m (1509, 2013-07-13)
SSIP\anim8 (0, 2013-07-13)
SSIP\anim8\deconv_blind_width11.mat (1431, 2013-07-13)
SSIP\anim8\deconv_blind_width11.png (256349, 2013-07-13)
SSIP\anim8\deconv_blind_width13.mat (1878, 2013-07-13)
SSIP\anim8\deconv_blind_width13.png (256366, 2013-07-13)
SSIP\anim8\deconv_blind_width15.mat (2400, 2013-07-13)
SSIP\anim8\deconv_blind_width15.png (253105, 2013-07-13)
SSIP\anim8\deconv_blind_width17.mat (3005, 2013-07-13)
SSIP\anim8\deconv_blind_width17.png (253871, 2013-07-13)
SSIP\anim8\deconv_blind_width19.mat (3651, 2013-07-13)
SSIP\anim8\deconv_blind_width19.png (252883, 2013-07-13)
SSIP\anim8\deconv_blind_width21.mat (4366, 2013-07-13)
SSIP\anim8\deconv_blind_width21.png (253261, 2013-07-13)
SSIP\anim8\deconv_blind_width23.mat (5189, 2013-07-13)
SSIP\anim8\deconv_blind_width23.png (253539, 2013-07-13)
SSIP\anim8\deconv_blind_width25.mat (6067, 2013-07-13)
... ...
Image Error Measurements
======================================
main executing reference usage: usage_errorMeasurementsOfImages.m
-----------------------------------------------------------------------------
The objective is to measure the differences between 2 images, and measurement of image quality.
1. Mean squared error, MSE
2. Root Mean squared error, RMSE
3. Peak signal to signal noise ratio, PSNR
4. Mean absolute error, MAE
5. Signal to signal noise ratio, SNR
6. Universal Image Quality Index
7. Enhancement Measurement Error, EME
8. Pearson Correlation Coefficient
Sample output:
--------------
PSNR = +13.81915 dB
MSE = 108.53790
RMSE = 10.41815
Universal Image Quality Index = 0.16077
EME (original image) = 14.50599
EME (noisy image) = 8.48040
PearsonCorrelationCoefficient (originalImage vs noisyImage) = 30959.27033
PearsonCorrelationCoefficient (originalImage vs originalImage) = 50624.00000
SNR = -10.28091 dB
MAE = 19.82882
Caveat: For reference purposes.
The author also recommends:
http://www.mathworks.co.uk/matlabcentral/fileexchange/25005-image-picture-quality-measures
The author appreciates suggestions and errata. Please do not hesitate to send suggestions and feedback for improvement for the framework construction to the email provided.
Email: promethevx@yahoo.com.
Thank you.
Regards,
Michael Chan JT
-------------------------------------- EOF --------------------------------------
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