a the and they have an uh i'm and a uh i'm from the that's going from a the problem uh and you estimated quite spar and that type on map and bases is a reason against sport image you the creation and this voice collaborate with uh yeah and got and the for a radio so uh yes the a around this print is and uh for our uh uh uh introduced the brief can set up a you listen again and then and i have a at discussed how to formulate the image into to and you is again and by are so some in is spends a read all for or by some conclusions so uh seventy again maybe you C components and the first compress prayer who prayed again and here is by note the base you one up to you and we assume they are and prayers S and this and compare use the use straight is set and and here a a a i ten for the few straight is set for use at you Y and the that that i uh i think so as a at a i i is the all of possible uh a Q strategy that that use so you like can pay and this can put a is the feel function we is uh with determine the pale that that use so you uh a that use the can opt ten by taking a something and a so or the add i stand for the uh little pale for a single of you uh you i and with a note is that uh all the at i user is not only to turn you by le use you ice X but also all allows users X and and yeah i us some a to do this and that we use in this print first is the strategy profile a is that class less and all all the players X and you want to a a and and this strategies is it a file is set pretty a a you i use a neck i uh so is the and it again the class and of the all operators uh actually it's seven player you wise X and the P say set as i say is that content all of possible pure strategy let the use that you i can take and that means strategy G is a random might a strategy uh well can be represents as pi we is a probability distribution of these Q trace set so uh to mess my on the apple and pale a prayer and it's know all information all are out of videos uh and channel is very difficult or even impossible to for prayer that's and no out a real a strategy and P so i that's K to improve the P L a a a a uh we are let hard to predict the N using the um um target to you uh oh understanding by then uh by building and this this to the concept you loose in again so and people is again is that and that's not be the interest and dependent strategy in population uh and uh a was set in that you recent again is slightly bruce and they stable strategy which is but strategy is that's that if all band bounds of the part this um top it then no me intense that you can invade the populations and that in inference well mistress and and such and and you produce an is they was to you can be simply and using the updating function here and uh the idea uh behind is updating dating thing is that uh the probability of using us that ten strategy at time T plus one is it to me is proposed a note to look pay all oh using using this strategy a previous time T so a with the background of the you risen again now you're like uh should discuss how to uh for me the image into and as a duration again so i think you in their present problem we have the uh a less as a image uh i here the but so but i know the low less was and not that is two can a high does to the image and and in it is a rate are they ask many but um is that mean proposed for this problem and here we only consider the uh was best so but that the if you're attending well for it's P so i had a it's uh for it uh it's be sides i see uh we use uh a in a combination of a set of uh a low less and this so i out of here i use is we assume L uh ways and non negative and this sum up to one and and if we know the this that a the low less and P so yeah the problem not be how to find a way so uh or is that we know that the team like can not be of then because um we do not have a or in a high uh less to see me image uh and a look up previous approach i i estimate the weights based on the sounds and that the could balance makes use of a high does a you means it can be where estimate form no combat about its you of low low say image i one is the sounds a not true then the in to present a performance we have be great thirty degraded so he a is that a a in the way in one that we propose to progress the we find the way by at an antibody that the made in the ways based on consistent and then finding the look and and using the ways as as a refinement process as is at sri and you produce in a process so which can be naturally really one it S and you resume again so uh yeah is the uh units there for me i say it's very simple we you see that a a in this uh a one is and the prayer a to a no high does of them so i it's i G and the use i T are the corresponding little as an piece so i have here are and that use as that is that can do this ad and that me is that the uh the outcome of that means strategy is the estimate of the high does and piece shows i had it's and the probability in the this strategy can be do guys the negative uh norm rice a topic you so we so kind the formulation uh the problem of in the a S the mail to find a an piece so we can the problem of finding the people produce a stable strategy of this again so a a how the size now look Q said to hear a uh we use use a very simple up used strategy said well for it's a a high to and be so we just use the the uh a square window of by than the is low less system this shows example here uh uh we have the i sh uh this uh this we uh a hard as and P is uh i two and my as one to and and i two and two and minus one and i two and to N and with just use the scroll window as and about a the P so look case that's a as one and that's one minus one and for a pale constant and a we we force uh define the similarity measure between uh can it is uh twenty it P so the i C and the time P so i it's i G and these uh uh uh similar he's so that's by lot you could eat it this and of the oh local pet sent the by the i'd G which is be yeah i G and that of the local patch since the by i it's i'd say we is to be i side G and from this uh a a a it's of the and we can see that if a i'd T close to the i as i'd say then that source and we're be um a small is that's K with to give a higher payoff O a a high P L to that uh can it be so and only out a hand if a i'd say is far away from i i say then this just all since to be lots and use that's K we give a low pay to the look can the piece source so is all sets uh in you uh in deviation a lapel since to be a six creasing function of this D yeah G and are we use the as one in seconds constant and was a know this so that for uh can it is to look at a hard put used an uh which actually use the we and just a be at times no uh time and S i had a it's T I G and if we compute a you could it this than you would be zero but that's to the beacons that's some may have some that also we cannot use that um as a matter so he we we use uh a very simple is that just we is that this also using the minimal distortion or or or a duck is so and again let P L forms an all is used to compute by a a once and so uh so that's look at some uh i spend the out so we test all mess so a to you need to did not board and we assume that lower low those an image is is down sampled from a high does and you image and we assume or is an image E is a battle for a a a as a been marked and we compare with the by Q P and S A are misses so if here is uh the result for a D a V G a the A the low lows the image can be is the result of open by by Q P and C is an a result uh generated by a the i and D is the read all all misses we can see that uh uh B C uh the are some a big at fair here uh we saw mess so we can a voice that's kinds are but maybe can the good is more clear uh for a boat image we can see that they are some fig for that we we a mass so we can uh a great the uh read you this kinds are the pen but you'd better read Y thing which T is that is um in the original boat image yeah some since noise and in that case if uh you use a a a i to be and it always yeah i to separate such kind of image the noise would be puts i'll and this at to use re though closing the figure that out that and you we saw mess so we we can as we can suppress such kinds of sense noise which being used as a a mess that have the potential to perform joint in to and and and this is a body if i to using this is but to here a a we assume uh less less as say just noise it's it's to buy some calls and noise uh and we compare our our that we sit them as a lap was performed a denoising using the long local and then performed in to place and using uh by Q be all the as we can see that the S some are right you well the phase and the no it's region and we and this kind of a a a page uh maybe come um many from uh this separation of that the anointing a to prison uh which means that you you you or did know any i wouldn't can not if we moves noise then the noise would be pushed are you in in the in the present process i we saw a mass so uh we can performs time it ten is at the non you can to raise and and we such kinds of sewing a process we can suppress such kinds of the play so um a come to can goes and uh so we propose a but are from form actually a general framework or a image uh in the present and using that you person again and this kind of for what it's very simple and and in a few that we like to investigate hall fall out uh that we can uh and uh good P L problems and to improve the result because now a the P L the as is very straight for just using the it read it this than uh between the low local patch and we also uh uh we also in in a a gem a to investigate the possibility of gen lighting but addition approach and all framework and just can my vol the Q right so we we can't to thanks okay ah we can afford quite a few number of questions so um and you go back to the land uh uh uh in its uh yeah O maybe a couple more so what's the T P M psnr i i i i so i i segments that this uh a eyes only for this three all i see okay because i have never or or right before uh oh typically for the entire image are right five thirty six right right of L a little right okay yeah he even for the right keep but as i for a whole image is no it's key problems in that he a very naive questions um typically one we play games we compete uh_huh and and the play was trying to compete right uh but he you are posing the uh be interpolated pixels is play the right and i don't see why okay okay uh as the competition so why to why needed so for the given to the are two kinds of the many yeah why as long at which the uh pretty a compute which is a i'll a a and one type of a not type is the culprit again well i pay of pretty which is a lower so for for these will lose it again this the corporate again so they call in step compute you which is um so yeah so so basically what how they cooperate with these are is that uh for example uh we use this uh when we compute the P of phones and we were use a week can just and all this just so for this so a so in such case are if they have uh very high similarity then they we help each other to what you're better results yeah um and obviously is as it changes uh from from one pixel of the uh the other the weighting the resulting optimal weights that you get out at the end is is is uh as a function of each pixel corps not not by patch but by yeah just for it's piece that the for each voice of right yeah wait yeah each pixel right uh do they have i all have to for little exactly the um some up to one right you need to have some up to why how to wise you have different being the intensity with a deeper the was each any of the question okay if not uh hopefully a use right okay then