How to get rid of glare spots in photoshop,how to get rid of old bumps on forehead,how to get rid of stomach worms in cats pictures,how to get rid of bad smell in home - New On 2016

admin | What Cures Bv | 20.02.2014
Signal Processing Stack Exchange is a question and answer site for practitioners of the art and science of signal, image and video processing. Then we need only to replace the portions of the image around the saturation mask (enlarging the mask is done by the morphological function Dilation). Basically, the overlap ( max overlapping area ) between image #1 and #2 will be the defect.
Not the answer you're looking for?Browse other questions tagged image-processing matlab or ask your own question. Is it possible to improve brute-force guessing of a password with a picture of the keyboard used to enter it? Why even bother using something like OpenGL, SFML, SDL when you can simply draw it to the screen? The basic purpose of wearing glasses is to correct and improve people’s vision, especially when it comes to pensioners. Some people still think that wearing prescription glasses is a real nightmare, but they are wrong.
It is possible to make this purchase on your own, but you need to check your vision correctly to determine the right number to correct your vision.
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I am using GDI+ to enhance my images, and when I use the method MakeTransparent of Bitmap, it does work, and it does do what its supposed to do, but I still have these white jpeg artifacts all over the place.
Well, I attempted something that is far from perfect, but I figure it might be useful to someone else. Problems encountered: the shadows are far enough from 'off white' that its difficult to auto convert them, and even if you did the shadow would still be in the image itself. As an alternative, you might want to consider redesigning the site to use a white background. While its not perfect, your answer has the most upvotes, so I have accepted your answer; I have given up my quest for this image decoding.
Loop through each pixel in the image, if R,G and B is higher than, say, 230 then replace the color with your desired color(or transparent).

This could be changed to a more general purpose solution that wouldn't grey out the storm trooper by doing a psuedo graph traversal. The reason for this is that the only info you have is the colour which you know that some pixels in the image are attempting to blend nicely with. The sort of sophisticated machine learning to detect which is which is an interesting problem domain, and might be a fun project for you but it certainly won't make for a quick solution to your immediate problem.
The other problem you have is that, even if you could detect with good reliability those areas of the image which are attempting to blend into the back ground you will have issues 'unblending' them and then reblending them into your new background colour unless the colours are reasonably compatible.
Use a flood fill algorithm to select, from the edges of the image inwards all pixels within x%(1) of the known backdrop colour. For those pixels set their alpha channel to a value as a proportion of their match to the original colour and eliminate the colour cast which was associated with it. This will still have issues for objects whose colour is close to the either background colour. This is a very rough first approximation but may cover a reasonable percentage of your target. After looking at the picture, if your source can provide them in a non-lossy format, like bitmap, you probably won't have the problems you are having. Your best bet is to contact the original site's webmaster and see if they can send you the original images, hopefully in photoshop or some other format where the original layers are preserved separately.
The center of the overlay image was transparent, and it merged beautifully with the original image though..
Not the answer you're looking for?Browse other questions tagged c# image-processing gdi+ bitmap or ask your own question.
As for inpainting in matlab, that's probably well suited for an independent question on SO.
However, if the shape of the object in the image is known, you could setup a shape template of the white glare (gaussian) and do a sliding window to find possible detection of glare (followed by color blending from adjacent area).
As soon as your optometrist provides a specific prescription, you need to look for suitable eyewear. As soon as they get exposed to UV light, they become darker and change their color to protect the eyes of wearers from harmful UV rays.

I am downloading (leeching ;) ) the images that where put on profile pages of the mother organisation to show on my own page.
The artifacts makes the image so bad, I am better off not making the image transparent and just leaving it white, but thats really ugly on my own website. Only some pixels in the image will actually be using colours at or close to this value for the purposes of shading into the background, others will be using (in the case white) because the actual object represented are in fact white (damn the precision of these imperial storm troopers).
Those pictures with transparent fully enclosed holes (like the gaps in the outer arch in your example) are not likely to ever work nicely in an automatic fashion since the algorithm will be unable to distinguish between white holes and white stormtrooper. This is what often leads to a number of unwanted problems, such as suffering from regular headaches, blurred vision, and so on. Your eyes will be seen by others better and you can get rid of glare spots and other similar issues. You need to look for a special scratch-resistant coating to be able to use such goods for a long time.
But their website has a nice white background, and my website has a nice gray gradient on the background. I can always at a nice border with a white background of course, but I rather change the background to transparent.
If shape from shading is able to give the surface gradient, we could do a sliding window and check our glare template at each location. There are three to seven spots of white in the image which aren't connected to any of the primary corners; and finally there's still a bit of white on the edges (could probably get rid of it by tweaking the code, but not without taking off part of the glare top. This might still cause trouble if there is blending on the edges of the actual image (a blend of white and brown that looks plain wrong on gray). We use a gradient in the background, and without having to precisely place the pictures, transparent background is the way to go..

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