Histogram Tutorial For Digital Cameras

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http://instanthotshots.com/digital-camera-histogram-tutorial.html Okay so you got yourself a really fancy schmancy digital camera -- or maybe a not so fancy schmancy one. Either way it doesn't matter because I'm will to bet You've poked around in the menu system inside the camera and came across a few things and said to yourself, yeah, I don't think I'll be using that. And for a lot of people one the most mysterious functions inside their digital camera is the one known as the histogram. A histogram is actually a cool little feature will let you know, at a glance, whether your image has got a correct exposure or not. Here is how you use it... Ok, ok you probably never heard of a histogram before -- no worries most digital camera owners haven't. Which is why it's a good thing you're watching this video because not only are we going to remove the mystery of what it is, we're also going to show you how to improve your photography with it. Today's digital cameras are awesome and even though they come with these great big LCD screens on the back they're just not big enough because they can still fool you into thinking that shot you just took was properly exposed. It's not until you get home and see the image on a bigger screen instead of a small compressed one that you say, ah man what the heck happened? This looked perfect on my camera but on here it's too dark. That's where knowing how to read a histogram can really make a difference. You'll know right then and there when you take the shot whether you've got the right exposure or not. And you don't need a rocket science degree to decipher one either. Nope all it takes is a quick glance and you'll instantly know whether or not your image has a great exposure or not. Basically All a histogram does is take each pixel in your camera looks to see how bright or dark is and then plots it on the graph. For example imagine you had a 4 pixel camera If the first pixel was pure black it would go on the left of the graph. If the second pixel was pure white it would go it on the right side of the graph. If the third pixel had a brightness exactly between black and white it would posted right in the middle of the graph. Now we don't have 3 pixel cameras but we do have ones that are 5 mega pixels and up which is quite a lot so once your camera ends up plotting everyone of those pixels you end up with a neat little shape like on the graph like this. What you're looking at here is a histogram -- it's like a unique fingerprint of an image that just happens to gives you information on how well it was exposed. The trick reading a histogram is to look at it's shape in relation to the graph. Let's say for example you took a picture then noticed most of the vertical lines in your histogram were bunched up to left side of the graph. With little or no information on the right side. This usually means the image is or is close to being underexposed. Too many lines on the right could mean it's overexposed. However a LOT depends on what it is you're photographing. What you're looking for in a histogram is something you would call a camel hump. This is where you have pixels throughout the entire graph but where most of them would be concentrated in the middle. What you're looking at here is what a properly exposed image looks like in a histogram. However a LOT of where that camel hump is located on the graph will depends on what it you're photographing. For example if you take a picture of a friend who happens to be wearing dark colored clothes, the camera's histogram is going to skew toward the left of the graph. If you take a picture of a friend who's wearing a lot of light colors, well the camera's histogram is going to skew toward the right of the graph. If you take a picture of a friend who's wearing a lot of light colors, well the camera's histogram is going to skew toward the right of the graph. Even though a histogram may be a little heavy on one side or the other, you're looking to make sure your histogram at least shows some information from one end of the graph to the other. http://youtu.be/rF_Lg3BlQfs