Psnr Calculation Code Snipplet It
They are commonly used to evaluate quality of images. This module can deal with single component signals (e.g. Monochrome image) and three components signals (e.g. The peak signal-to-noise ratio (PSNR) is the ratio between a signal's maximum power and the power of the signal's noise. Engineers commonly use the PSNR to measure the quality of reconstructed images that have been compressed. Each picture element (pixel) has a color value that can change when an image is compressed and then uncompressed.From code snipplet it is evident that you are reading two signal as voice1.wav & voice2.wav.
That is usefully calculable for signals that have constant average power, such as AM or FM radio signals (audio has no DC component). Leave messages at the project talk page Electronics Wikipedia:WikiProject Electronics Template:WikiProject Electronics electronic articlesThis article has been rated as C-Class on the project's quality scale.This article has been rated as Low-importance on the project's importance scale.How is this different from regular SNR? — Omegatron 03:06, 1 December 2005 (UTC)Omegatron, by regular SNR I suppose you mean (average signal power)/(average noise power). If you would like to participate, you can choose to edit the article attached to this page, or visit the project page, where you can join the project and see a list of open tasks. This article is part of WikiProject Electronics, an attempt to provide a standard approach to writing articles about electronics on Wikipedia.
A higher PSNR would be better, to further extend on this a PSNR of 100 would be exactly identical to the original. I myself don't really have a great understanding on it so I can't write the part but I'm suggesting it as an addition.PSNR-HVS: Peak Signal-to-Noise Ratio taking into account Contrast Sensitivity Function (CSF),PSNR-HVS-M: Peak Signal-to-Noise Ratio taking into account Contrast Sensitivity Function (CSF) and between-coefficient contrast masking of DCT basis functions.Sources for research: Jiecut ( talk) 18:38, 12 March 2016 (UTC)So is higher or lower PSNR better? Can someone add this to the article? Daniel.Cardenas 23:09, 7 August 2007 (UTC) There's not a ton of info on the web that explains these nicely so it'd be nice to have. 5 Original uncompressed image is much less sharp then compressed.Similar to the SSIM page, I think the PSNR page should include information on variants such as PSNR-HVS and PSNR-HVS-M. 4 Confusion regarding the value of MAX used in PSNR calculation
The MSE is basically the difference between the original and reconstructed image pixels, if the image is compared to itself (perfect recontruction or identical) then the MSE will be 0 as the difference between all pixels and their counterparts in the reconstruction will be zero. To see this don't take what one says as granted but rather try to understand the underlying equations, they are not difficult. - 06:38, 7 November 2007 (UTC)A higher PSNR is indeed better. If you meanIdentical for all practical purposes, I would agree, but choosing 100 suggests that this is a special value like 100%, whichIt is not. Why would PSNR 100 be identity? It is just a very good signal, but noisy nontheless.
Using Matlab's rgb2ycbcr and ycbcr2rgb functions, i was expecting a high PSNR value.I was surprised to find that the PSNR was 100.1818, the MSE was 0.4118But if I use 'max difference' as MAX i am getting 75.84 which seems to be more correct.If use set MAX to 255+255/256 as specified in I get 52.01Please help me (ramprasad85 at gmail.com)Ramprasad N ( talk) 08:39, 11 August 2010 (UTC)User, 17th Dec. So there is some loss introduced but not as much as a lossy compression. 212.44.20.129 ( talk) 16:55, 19 June 2009 (UTC)Confusion regarding the value of MAX used in PSNR calculation This page says that the value of MAX is (2^B -1)I have read ( ) that the value of MAX is the max difference between the pixels of the two images.My images being 48 bit (3*16) I used 1/(m*n*3) to calculate MSE.I am trying to convert an RGB image to YUV and convert the YUV back to RGB. Could some knowledgable author/editor clarify this please? Thanks.
contribs) 14:09, 26 October 2014 (UTC) Something somewhere is doing a very poor job of filtering the thumbnail that you see on the page. — Preceding unsigned comment added by Massimociacci ( talk Is there a reason for this? Is compression operating a hidden sharpening ?If so it should be mentioned, if not the original may be wrong. But don't take my word for it, I'm not an image processor, just thinking aloud -) GyroMagician ( talk) 09:22, 11 August 2010 (UTC) Original uncompressed image is much less sharp then compressed. Your max range would then be 256, not 16777216. This makes a big difference! If a pixel value is 0xff0000, you should probably interpret that as 255/3 (mean intensity across colour channels), or something similar - not 16711680 (the 48 bit number, given in decimal).
Yes, it's annoying and confusing.
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