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IMAGE COMPRESSION USING DISCRETE COSINE TRANSFORM & DISCRETE WAVELET TRANSFORM

IMAGE COMPRESSION USING DISCRETE COSINE TRANSFORM & DISCRETE WAVELET TRANSFORM

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also have this wavelet image compression where you can select your image from this drop- down menu select your wavelet type AA is default and the number of bits so you essentially digitize the image becomes more granula with less bits as expected and this is also the wavelet transform the number of uh levels in it so the less levels you have the more it looks like the original image but yes so you can see what difference bits versus levels uh make if you want to something artistic can play play around with it some reason these two don't make much difference which makes me think they actually potentially the same biotal 1.3 does this kind of stuff and at the model most importantly you see the PSN now which is a signal to the noise ratio a peak signal to ratio which essentially tells you how well it's being reconstructed essentially a value of 33 is higher you can get to up to like 50 or so but um which tells you that the reconstructed image is very similar to the origina

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