BF2S Forums Photography HDR.

You need to take out some of the red levels but it looks much better.

Get on sexfire.  I need to talk to you about that secret thing we were gonna do.

HDR is easy.

Step one, copy layer.
Step two, set copied layer to overlay.
Step three, profit.

Somebody beat you to it http://www.dailymotion.com/nattfodd/hdr … troduction .

Bern did you mess with the exposure using the curves adjustment layer? Obviously it's the same image or those sheep aren't very lively . I'm giving it a run now. Will try tomorrow with these quakers I took a picture of.

Bernadictus wrote:

Kmarion wrote:

Bern did you mess with the exposure using the curves adjustment layer? Obviously it's the same image or those sheep aren't very lively . I'm giving it a run now. Will try tomorrow with these quakers I took a picture of.

Yah, too point out the benefit of HDR, I'm currently looking at a new Camera (Eos-d), and will take a load of pictures this vacation in turkey.
But as said, I need a new camera, which I can better control than the standard ones.

Cool deal. I'm using a Rebel XTi, HDR in CS3 is new ground for me. Trial and error time.

Awww that sheep is so cute! I just wanna hug it!

What does HDR stand for? What does it do?

OF course !!! 

im subscribing

I thought you needed 3 different exposures of the picture (not just 2) >.>

-konfusion

This is a very good explanation for those interested. I found it inside a program called Artizen.

High Dynamic Range or better know as HDR, has been a concept that seems to be so very misunderstood that there are hundreds of web pages with 2D and 3D designers trying to understand and justify this paradigm shift in the way they think about photographs and light in general.

         HDR is not a concept that is just a fad or some crazy idea that only the highest end professionals ever have to think about, but rather something that will change everything from how you take pictures with your family camera to the way that the Hubble Telescope takes pictures of our sun.

         If we take a simple observation of how light looks in the world around us, you will notice that there areas that are too bright for you too look at like the sun, and areas to dark for you to see anything. This idea refers to the RANGE of light (or sometimes referred to as luminance) that is visible to the human eye. Now the human eye can see a range of approx. 10,000:1, so here lays the problem. Presently our monitors, cameras and TV's have very limited range, approx. 100:1, which is 1/100 of what we can see. As a result of this limitation, file formats were created to work with these limited mediums such a Windows Bitmap. Normal JPEG or TIFF images can only encode a limited brightness range of 0-255 (i.e. the brightest point can only be 255 times as bright as the darkest point). Now the move has finally been made after 30 years of these limited medium with both JPEG and TIFF supporting higher and board color depths.

         Now the first thing everyone thinks, is why would I need anything more if you can't see it on a screen or capture it with your camera. This is wrong, and where it gets very technical. In the computer world a BYTE is limited to values between 0 - 255, so let's say you store all your image information as BYTES and you brighten your image by 20 value points, any value that was greater than 235 now becomes 255 and all the detail that was stored is lost. So if now the image was darkened by 20 points the image would make any value that was 255 is now 235 (rather than a range of values between 235 and 255). This always leaves your image with a gray filter effect.

         To work around this, HDRIs (High Dynamic Range Images) were created. They are special image formats that accurately encodes the extreme brightness of very dark and very light areas of the scene. So HDRI's address two issues, the first is that it can now store values ranging from 1x10exp(+/-37) and the second is that the range is so large that programmers never have to clamp the values of their image to a fixed max value such as 255. So by using the example above if the value was increased and then decreased by 20 points the original value would be restored leaving the image unchanged.

         HDR images are normally created using digital cameras that can record different exposure levels, so that they can be combined later to make a very detailed image storing data for both very dark and bright areas. This leaves the designer with all the control to decide how bright or dark an image is without losing data.

There isn't only one specific way to make HDR photos.
its all about playing with exposures, levels and colors.

Last edited by aerodynamic (2009-06-03 15:34:14)