Canon XTi 400D Benutzerhandbuch

Seite von 180
125
Shooting Information Display
 
Histogram
The brightness histogram display shows the exposure 
level distribution, overall brightness and gradation. And 
the RGB histogram display is suited for checking the 
color saturation and gradation. The display can be 
switched with the [x Histogram] menu.
Being able to analyze the histogram and using it to 
improve the next shot requires advanced knowledge and 
experience. Only a basic explanation is provided here.
[Brightness] Display
This histogram is a graph showing the distribution of the 
image’s brightness level. The horizontal axis indicates the 
brightness level (darker on the left and brighter on the right), 
while the vertical axis indicates how many pixels exist for each brightness level.
The more pixels there are toward the left, the darker the image. And the more pixels 
there are toward the right, the brighter the image.
If there are too many pixels on the left, the shadow detail will be lost. And if there are 
too many pixels on the right, the highlight detail will be lost. The tones in-between will 
be reproduced.
By checking the image’s brightness histogram, you can see the exposure level bias 
and the overall tone reproduction condition.
[RGB] Display
This histogram is a graph showing the distribution of the image’s brightness 
level of each primary color (RGB or red, blue, and green). The horizontal axis 
indicates the color’s brightness level (darker on the left and brighter on the 
right), while the vertical axis indicates how many pixels exist for each color 
brightness level. The more pixels there are toward the left, the darker and less 
prominent the color. And the more pixels there are toward the right, the brighter 
and denser the color. If there are too many pixels on the left, the respective 
color information will be lacking. And if there are too many pixels on the right, 
the color will be too saturated with no detail.
By checking the image’s RGB histogram, you can see the color’s saturation and 
gradation condition and white balance bias.
Sample Histograms
Dark image
Normal image
Bright image